Systems and Methods for Pesticide Detection

ABSTRACT

This disclosure provides quantitative, rapid, and reliable LC-MS/MS methods for analyzing panels of pesticides and mycotoxins in various samples, including very hydrophobic and chlorinated compounds normally analyzed on a GC-MS/MS system. The methods can be carried out using a single instrument and can detect and quantify levels of the pesticides and mycotoxins that are well below action limits specified by U.S. states (e.g., California) and other countries (e.g., Canada) for these compounds in cannabis products.

This application is a divisional application of Ser. No. 16/254,795 filed on Jan. 23, 2019, which claims priority to and incorporates by reference in their entireties Ser. No. 62/620,961 filed on Jan. 23, 2018 and Ser. No. 62/637,350 filed on Mar. 1, 2018.

Each reference cited in this disclosure is incorporated herein in its entirety.

TECHNICAL FIELD

This disclosure relates generally to systems and methods for detecting and/or quantifying pesticides using mass spectrometry.

BACKGROUND

Mass spectrometry (MS) is an analytical technique for determining the elemental composition of unknown sample substances and has both quantitative and qualitative applications. For example, MS is useful for identifying unknown compounds, determining the isotopic composition of elements in a molecule, and determining the structure of a particular compound by observing its fragmentation, as well as for quantifying the amount of a particular compound in the sample. Mass spectrometers typically operate by ionizing a test sample to form an ion stream of positively charged particles. The ion stream is then subjected to mass differentiation (in time or space) to separate different particle populations in the ion stream according to their mass-to-charge (m/z) ratios. A downstream mass analyzer can detect the intensities of the mass-differentiated ion populations in order to compute analytical data of interest, e.g., the relative concentrations of the different ion populations, mass-to-charge ratios of product or fragment ions, and other potentially useful analytical data.

Ions of interest (“analyte ions”) can coexist in the ion stream with other unwanted ion populations (“interferer ions”) that have substantially the same nominal m/z ratio as the analyte ions. In some cases, the m/z ratio of an interferer ion will be close enough to the m/z ratio of an analyte ion that it falls within the resolution limits of the mass analyzer, and the analyte and interferer ion cannot be distinguished. Improving the resolution of the mass analyzer is one approach to dealing with this type of interference (commonly referred to as “isobaric” or “spectral interference”). Higher resolution mass analyzers, however, tend to have slower extraction rates and higher loss of ion signals and require more sensitive detectors. Limits on the achievable resolution may also be encountered.

In addition, pesticide analysis in certain samples, such as cannabis samples, is hampered by the presence of matrix interference. Cannabis contains compounds from different classes such as cannabinoids, terpenes, hydrocarbons, sugars, fatty acids, flavonoids and others, whose presence leads to variable signal ion suppression and matrix interference, particularly because of the large disparity between levels of pesticides and the high concentration levels of naturally occurring cannabinoids and terpenes.

There exists a need for improved systems and methods for detecting and quantifying pesticides.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A and FIG. 1B are block diagrams of processes for detecting and/or quantifying a panel of pesticides.

FIG. 2 is a block diagram of a process for detecting and/or quantifying pesticides via tandem mass spectrometry, using atmospheric chemical ionization (APCI) with air as a nebulizing gas.

FIG. 3 is schematic of a liquid chromatography and tandem mass spectrometry system.

FIG. 4 is a block diagram of an example of a cloud computing environment.

FIG. 5 is a block diagram of an example computing device and an example mobile computing device.

FIGS. 6A-B are graphs showing abamectin signal as a function of HSID (hot-surface induced desolvation; FIG. 6A) and source temperature (FIG. 6B).

FIGS. 7A-D are chromatograms of cannabis samples analyzed for the presence of acequinocyl using a Multiple Reaction Monitoring (MRM) transition of 385.2>189 (FIGS. 7A, 7B) or at 385.2>343.1 (FIGS. 7C, 7D). FIGS. 7A and 7C, cannabis samples comprising 100 ppb (parts per billion) acequinocyl. FIGS. 7B and 7D, blank cannabis samples. ND, not detected. S/N, signal-to-noise ratio.

FIG. 8 is a precursor (parent) ion mass scan for acequinocyl.

FIGS. 9A-D are chromatograms of cannabis samples analyzed for the presence of acequinocyl using an MRM transition of 402.2>189 (FIGS. 9A, 9C) or 402.2>343.1 (FIGS. 9B, 9D). FIGS. 9A and 9B, cannabis samples comprising 100 ppb acequinocyl. FIGS. 9C and 9D, blank cannabis samples.

FIG. 10A is a precursor (parent) ion mass scan for abamectin. FIGS. 10B-E are chromatograms of cannabis samples analyzed for the presence of abamectin using an MRM transition of 890.5>567.2 (FIGS. 10B, 10D) or 890.5>305.1 (FIGS. 10C, 10E). FIGS. 10B and 10C, cannabis samples comprising 100 ppb abamectin. FIGS. 10D and 10E, blank cannabis samples.

FIGS. 11A-D are chromatograms of cannabis samples comprising 100 ppb aldicarb and analyzed for the presence of aldicarb using MRM transitions of 208>89 (FIG. 11A), 208>116 (FIG. 11B), 116>70 (FIG. 11C), and 116>89 (FIG. 11D).

FIGS. 12A-B are chromatograms of cannabis samples analyzed for the presence of methomyl using an MRM transition of 163.1>88. FIG. 12A, cannabis sample comprising 100 ppb methomyl. FIG. 12B, blank cannabis sample.

FIGS. 13A-B are chromatograms of cannabis samples analyzed for the presence of captan using an MRM transition of 316.9>263.9. FIG. 13A, cannabis sample comprising 1000 ppb captan. FIG. 13B, blank cannabis sample.

FIG. 14A is a precursor (parent) ion mass scan for chlorfenapyr.

FIGS. 14B-E are chromatograms showing signal amplitudes obtained for an ammonium ([M+NH4]+) adduct of chlorfenapyr using for different MRM transitions. FIG. 14B, 426>59; FIG. 14C, 426>271; FIG. 14D, 426>376; FIG. 14E, 426>409.

FIGS. 14F-I are chromatograms showing signal amplitudes obtained for protonated chlorfenapyr ([M+H]+) using for different MRM transitions. FIG. 14F, 409>41; FIG. 14G, 409>59; FIG. 14H, 409>271; FIG. 14I, 409>379.

FIGS. 14J-K are chromatograms of cannabis samples comprising 100 ppb chlorfenapyr and obtained using MRM transitions 409>271 (FIG. 14J) and 409>379 (FIG. 14K).

FIGS. 14L-N are chromatograms of cannabis samples comprising 100 ppb chlorfenapyr and obtained using MRM transitions 409>59 (FIG. 14L), 426>59 (FIG. 14M), and 426>409 (FIG. 14N).

FIGS. 15A-B are chromatograms of cannabis samples analyzed for the presence of trifloxystrobin using MRM transitions 409.1>186 (FIG. 15A) and 409.1>206 (FIG. 15B). FIG. 15C is a chromatogram analyzed for the presence of trifloxystrobin and chlorfenapyr using MRM transition 409.1>59.

FIG. 16A is a graph showing an isotope distribution of naled (also referred to as “dibrom” or “DiBrom”). FIG. 16B is a precursor (parent) mass scan for a sample comprising naled. FIGS. 16C-F are chromatograms of cannabis samples comprising 100 ppb naled and analyzed for the presence of naled using MRM transitions 380.8>127 (FIG. 16C), 378.8>127 (FIG. 16D), 380.8>109 (FIG. 16E), and 378.8>127 (FIG. 16F).

FIGS. 17A and 17B are graphs showing product ion scans for daminozide. FIG. 17A, High collision energy (CE)=−30 V. FIG. 17B, Low CE=−15 V.

FIGS. 17C-E are chromatograms of cannabis samples comprising 100 ppb of daminozide and analyzed for the presence of daminozide using MRM transitions of 161.1>44 (FIG. 17C), 161.1>101 (FIG. 17D), and 161.1>143 (FIG. 17E).

FIGS. 18A-B are chromatograms of cannabis samples analyzed for the presence of acephate using MRM transition 184>143. FIG. 18A, cannabis sample comprising 100 ppb acephate. FIG. 18B, blank cannabis sample.

FIGS. 19A-B are chromatograms of cannabis samples analyzed for the presence of imazalil using MRM transitions 297>41. FIG. 19A is a cannabis sample comprising 100 ppb imazalil. FIG. 19B is a blank cannabis sample.

FIG. 20A and FIG. 20B are product ion scans for N-octyl bicycloheptene dicarboximide (MGK-264). FIG. 20A, Low CE=−25 V. FIG. 20B, High CE=−50 V.

FIGS. 20C-E are chromatograms of cannabis samples comprising 100 ppb of MGK-264 and analyzed for the presence of MGK-264 using MRM transitions 276.2>98 (FIG. 20C), 276.2>121 (FIG. 20D), and 276.2>210 (FIG. 20E).

FIGS. 21A-D are chromatograms of cannabis samples analyzed for the presence of cinerin II using MRM transitions 361.2>213 (FIGS. 21A, 21B) and 361.2>107 (FIGS. 21C, 21D). FIGS. 21A and 21C are cannabis samples comprising 1000 ppb cinerin II. FIGS. 21B and 21D are blank cannabis samples.

FIGS. 22A-B are chromatograms of cannabis samples analyzed for the presence of cinerin I using MRM transition 317.2>149. FIG. 22A, cannabis samples comprising 1000 ppb cinerin I. FIG. 22B, blank cannabis sample.

FIGS. 23A-F are chromatograms of cannabis samples analyzed for the presence of fenoxycarb using MRM transitions 302.1>88 (FIGS. 23A, 23B), 302.1>256 (FIGS. 23C, 23D), and 302.1>116 (FIGS. 23E, 23F). FIGS. 23A, 23C, and 23E, cannabis samples comprising 100 ppb fenoxycarb. FIGS. 23B, 23D, and 23E, blank cannabis samples.

FIGS. 24A-F are chromatograms of cannabis samples analyzed for the presence of dimethomorph using MRM transitions 388.1>165 (FIGS. 24A, 24B), 388.1>273 (FIGS. 24C, 24D), and 388.1>301 (FIGS. 24E, 24F). FIGS. 24A, 24C, and 24E are cannabis samples comprising 100 ppb dimethomorph. FIGS. 24B, 24D, and 24F are blank cannabis samples.

FIGS. 25A-B are chromatograms of cannabis samples analyzed for the presence of fenhexamid using MRM transition 302.1>55. FIG. 25A, cannabis sample comprising 100 ppb fenhexamid. FIG. 25B, blank cannabis sample.

FIGS. 26A-B are chromatograms of cannabis samples analyzed for the presence of spinetoram using MRM transition 748.5>98. FIG. 26A is a cannabis sample comprising 100 ppb spinetoram. FIG. 26B is a blank cannabis sample.

FIGS. 27A-C are total ion chromatograms (TICs). FIG. 27A, TIC for a blank cannabis sample obtained using a generic liquid chromatography gradient (fixed gradient rate). FIG. 27B, TIC for a cannabis sample comprising 100 ppb of pesticides. FIG. 27C, TIC for a blank cannabis sample obtained using the conditions described in Example 1. See also Example 2.

FIG. 27D is a graph showing Van Deemter curves for various types of liquid chromatography (LC) columns.

FIGS. 27E and 27F are graphs showing the effect of flow rate on an azoxystrobin signal.

FIGS. 28A-C are chromatograms of cannabis samples comprising 100 ppb malathion and analyzed for the presence of malathion using MRM transitions 331>99 (FIG. 28A), 331>285 (FIG. 28B), and 331>127 (FIG. 28C).

FIG. 29A is a chromatogram of a cannabis sample analyzed for the presence of spiroxamine using a 2.1 mm inner diameter (ID) LC column. FIG. 29B is a chromatogram of a cannabis sample analyzed for the presence of spiroxamine using a 4.6 mm ID column.

FIG. 30A is a graph showing intensity of a MRM transition associated with acequinocyl as a function of time for a sample processed via a LC method employing a 100% methanol eluting solvent. FIG. 30B is a graph showing intensity of a MRM transition associated with acequinocyl as a function of time for a sample processed via a LC method employing a 75% methanol:25% acetonitrile eluting solvent. FIG. 30C is a graph showing MRM transition signal intensities for acequinocyl and abamectin as a function of percentage methanol concentration of an organic elution solvent used in a LC method.

FIG. 31 is a graph showing overall pesticide recovery in a cannabis sample.

FIGS. 32A-B are calibration curves for azoxystrobin in a cannabis matrix (FIG. 32A) and in solvent (FIG. 32B).

FIG. 33A is a precursor (parent) mass scan for pentachloronitrobenzene (PCNB; quintozene). FIG. 33B is a graph showing an isotope distribution for quintozene.

FIG. 34A is a precursor (parent) mass scan for chlordane. FIG. 34B is a graph showing an isotope distribution for chlordane.

FIG. 35A is a precursor (parent) mass scan for a sample comprising chlordane and processed using a LC method that employs mobile phases without additives. FIG. 35B is a precursor (parent) mass scan for a sample comprising chlordane and processed using a LC method that employs a mobile phase with formic acid.

FIG. 36 is a product ion scan for quintozene obtained using an APCI source in a negative ion mode.

FIGS. 37A-D are chromatograms of cannabis samples analyzed for the presence of quintozene using MRM transitions 275.8>35.1 (FIGS. 37A, 37C) and 273.8>35.1 (FIGS. 37B, 37D). FIGS. 37A and 37B are cannabis samples comprising 100 ppb quintozene. FIGS. 37C and 37D are blank cannabis samples.

FIG. 38A-D are chromatograms of cannabis samples analyzed for the presence of chlordane using MRM transitions 439.8>35.1 (FIGS. 38A, 38C) and 441.8>35.1 (FIGS. 38B, 38D). FIGS. 38A and 38B are cannabis samples comprising 100 ppb chlordane. FIGS. 38C and 38D are blank cannabis samples.

FIG. 39 is a graph showing background spectra obtained using an APCI source in a negative ion mode.

FIG. 40A is a graph showing limits of quantitation (LOQs) calculated based on the sensitivity of both quantifier/qualifier MRM transitions for 72 pesticides. FIG. 40B is a graph showing LOQs calculated based only on sensitivity of a quantifier MRM transition for the 72 pesticides.

FIGS. 41A-D are chromatograms of cannabis samples analyzed for the presence of daminozide using MRM transitions 161.1>143 (FIGS. 41A, 41C) and 161.1>44 (FIGS. 41B, 41D). FIGS. 41A and 41B are cannabis samples comprising 100 ppb daminozide. FIGS. 41C and 41D are blank cannabis samples.

FIGS. 42A-D are chromatograms of cannabis samples analyzed for the presence of oxamyl using MRM transitions 237.1>72 (FIGS. 42A, 42C) and 237.1>90 (FIGS. 42B, 42D). FIGS. 42A and 42B are cannabis samples comprising 100 ppb oxamyl. FIGS. 42C and 42D are blank cannabis samples.

FIGS. 43A-D are chromatograms of cannabis samples analyzed for the presence of flonicamid using MRM transitions 230.1>203 (FIGS. 43A, 43C) and 230.1>174 (FIGS. 43B, 43D). FIGS. 43A and 43B are cannabis samples comprising 100 ppb flonicamid. FIGS. 43C and 43D are blank cannabis samples.

FIGS. 44A-B are chromatograms of cannabis samples analyzed for the presence of acephate using MRM transition 184>49. FIG. 44A, cannabis sample comprising 100 ppb acephate. FIG. 44B, blank cannabis sample.

FIGS. 45A-B are chromatograms of cannabis samples analyzed for the presence of methomyl using MRM transition 163.1>106. FIG. 45A, cannabis sample comprising 100 ppb methomyl. FIG. 45B, blank cannabis sample.

FIGS. 46A-D are chromatograms of cannabis samples analyzed for the presence of thiamethoxam using MRM transitions 292>211 (FIGS. 46A, 46C) and 292>181 (FIGS. 46B, 46D). FIGS. 46A and 46B are cannabis samples comprising 100 ppb thiamethoxam. FIGS. 46C and 46D are blank cannabis samples.

FIGS. 47A-D are chromatograms of cannabis samples analyzed for the presence of imidacloprid using MRM transitions 256.1>209 (FIGS. 47A, 47C) and 256.1>175 (FIGS. 47B, 47D). FIGS. 47A and 47B are cannabis samples comprising 100 ppb imidacloprid. FIGS. 47C and 47D are blank cannabis samples.

FIGS. 48A-D are chromatograms of cannabis samples analyzed for the presence of dimethoate using MRM transitions 230>125 (FIGS. 48A, 48C) and 230>199 (FIGS. 48B, 48D). FIGS. 48A and 48B are cannabis samples comprising 100 ppb dimethoate. FIGS. 48C and 48D are blank cannabis samples.

FIGS. 49A-D are chromatograms of cannabis samples analyzed for the presence of mevinphos using MRM transitions 225>127 (FIGS. 49A, 49C) and 225>109 (FIGS. 49B, 49D). FIGS. 49A and 49B are cannabis samples comprising 100 ppb mevinphos. FIGS. 49C and 49D are blank cannabis samples.

FIGS. 50A-D are chromatograms of cannabis samples analyzed for the presence of acetamiprid using MRM transitions 223.1>99 (FIGS. 50A, 50C) and 223.1>126 (FIGS. 50B, 50D). FIGS. 50A and 50B are cannabis samples comprising 100 ppb acetamiprid. FIGS. 50C and 50D are blank cannabis samples.

FIGS. 51A-D are chromatograms of cannabis samples analyzed for the presence of thiacloprid using MRM transitions 253>126 (FIGS. 51A, 51C) and 253>90 (FIGS. 51B, 51D). FIGS. 51A and 51B are cannabis samples comprising 100 ppb thiacloprid. FIGS. 51C and 51D are blank cannabis samples.

FIGS. 52A-B are chromatograms of cannabis samples analyzed for the presence of imazalil using MRM transition 297>159. FIG. 52A is a cannabis sample comprising 100 ppb imazalil. FIG. 52B is a blank cannabis sample.

FIGS. 53A-D are chromatograms of cannabis samples analyzed for the presence of thiophanate-methyl using MRM transitions 343.1>151 (FIGS. 53A, 53C) and 343.1>268 (FIGS. 53B, 53D). FIGS. 53A and 53B are cannabis samples comprising 100 ppb thiophanate-methyl. FIGS. 53C and 53D are blank cannabis samples.

FIGS. 54A-D are chromatograms of cannabis samples analyzed for the presence of aldicarb using MRM transitions 208>89 (FIGS. 54A, 54C) and 208>116 (FIGS. 54B, 54D). FIGS. 54A and 54B are cannabis samples comprising 100 ppb aldicarb. FIGS. 54C and 54D are blank cannabis samples.

FIGS. 55A-D are chromatograms of cannabis samples analyzed for the presence of propoxur using MRM transitions 210.1>168 (FIGS. 55A, 55C) and 210.1>111 (FIGS. 55B, 55D). FIGS. 55A and 55B are cannabis samples comprising 100 ppb propoxur. FIGS. 55C and 55D are blank cannabis samples.

FIGS. 56A-D are chromatograms of cannabis samples analyzed for the presence of dichlorvos using MRM transitions 220.9>109 (FIGS. 56A, 56C) and 220.9>127 (FIGS. 56B, 56D). FIGS. 56A and 56B are cannabis samples comprising 100 ppb dichlorvos. FIGS. 56C and 56D are blank cannabis samples.

FIGS. 57A-D are chromatograms of cannabis samples analyzed for the presence of carbofuran using MRM transitions 222.1>123 (FIGS. 57A, 57C) and 222.1>165 (FIGS. 57B, 57D). FIGS. 57A and 57B are cannabis samples comprising 100 ppb . FIGS. 57C and 57D are blank cannabis samples.

FIGS. 58A-D are chromatograms of cannabis samples analyzed for the presence of carbaryl using MRM transitions 202.1>127 (FIGS. 58A, 58C) and 202.1>145 (FIGS. 58B, 58D). FIGS. 58A and 58B are cannabis samples comprising 100 ppb carbaryl. FIGS. 58C and 58D are blank cannabis samples.

FIGS. 59A-D are chromatograms of cannabis samples analyzed for the presence of spiroxamine using MRM transitions 298.3>100.1 (FIGS. 59A, 59C) and 298.3>144.1 (FIGS. 59B, 59D). FIGS. 59A and 59B are cannabis samples comprising 100 ppb spiroxamine. FIGS. 59C and 59D are blank cannabis samples.

FIGS. 60A-D are chromatograms of cannabis samples analyzed for the presence of naled (“dibrom”) using MRM transitions 380.8>109 (FIGS. 60A, 60C) and 380.8>127 (FIGS. 60B, 60D). FIGS. 60A and 60B are cannabis samples comprising 100 ppb naled. FIGS. 60C and 60D are blank cannabis samples.

FIGS. 61A-D are chromatograms of cannabis samples analyzed for the presence of metalaxyl using MRM transitions 280.2>192.1 (FIGS. 61A, 61C) and 280.2>248.1 (FIGS. 61B, 61D). FIGS. 61A and 61B are cannabis samples comprising 100 ppb metalaxyl. FIGS. 61C and 61D are blank cannabis samples.

FIGS. 62A-D are chromatograms of cannabis samples analyzed for the presence of chlorantraniliprole using MRM transitions 484>285.9 (FIGS. 62A, 62C) and 484>452.9 (FIGS. 62B, 62D). FIGS. 62A and 62B are cannabis samples comprising 100 ppb chlorantraniliprole. FIGS. 62C and 62D are blank cannabis samples.

FIGS. 63A-D are chromatograms of cannabis samples analyzed for the presence of phosmet using MRM transitions 318>133 (FIGS. 63A, 63C) and 318>160 (FIGS. 63B, 63D). FIGS. 63A and 63B are cannabis samples comprising 100 ppb phosmet. FIGS. 63C and 63D are blank cannabis samples.

FIGS. 64A-D are chromatograms of cannabis samples analyzed for the presence of methyl parathion using MRM transitions 264>124.9 (FIGS. 64A, 64C) and 264>231.9 (FIGS. 64B, 64D). FIGS. 64A and 64B are cannabis samples comprising 100 ppb methyl parathion. FIGS. 64C and 64D are blank cannabis samples.

FIGS. 65A-D are chromatograms of cannabis samples analyzed for the presence of azoxystrobin using MRM transitions 404.1>344 (FIGS. 65A, 65C) and 404.1>372 (FIGS. 65B, 65D). FIGS. 65A and 65B are cannabis samples comprising 100 ppb azoxystrobin. FIGS. 65C and 65D are blank cannabis samples.

FIGS. 66A-D are chromatograms of cannabis samples analyzed for the presence of methiocarb using MRM transitions 226.1>121 (FIGS. 66A, 66C) and 226.1>169 (FIGS. 66B, 66D). FIGS. 66A and 66B are cannabis samples comprising 100 ppb methiocarb. FIGS. 66C and 66D are blank cannabis samples.

FIGS. 67A-B are chromatograms of cannabis samples analyzed for the presence of captan using MRM transition 316.9>235.9. FIG. 67A is a cannabis sample comprising 1000 ppb captan. FIG. 67B is a blank cannabis sample.

FIGS. 68A-D are chromatograms of cannabis samples analyzed for the presence of boscalid using MRM transitions 343>140 (FIGS. 68A, 68C) and 343>272 (FIGS. 68B, 68D). FIGS. 68A and 68B are cannabis samples comprising 100 ppb boscalid. FIGS. 68C and 68D are blank cannabis samples.

FIGS. 69A-D are chromatograms of cannabis samples analyzed for the presence of fludioxonil using MRM transitions 247.1>126 (FIGS. 69A, 69C) and 247.1>180 (FIGS. 69B, 69D). FIGS. 69A and 69B are cannabis samples comprising 100 ppb fludioxonil. FIGS. 69C and 69D are blank cannabis samples.

FIGS. 70A-D are chromatograms of cannabis samples analyzed for the presence of paclobutrazol using MRM transitions 294.1>125 (FIGS. 70A, 70C) and 294.1>70 (FIGS. 70B, 70D). FIGS. 70A and 70B are cannabis samples comprising 100 ppb paclobutrazol. FIGS. 70C and 70D are blank cannabis samples.

FIGS. 71A-D are chromatograms of cannabis samples analyzed for the presence of malathion using MRM transitions 331>285 (FIGS. 71A, 71C) and 331>127 (FIGS. 71B, 71D). FIGS. 71A and 71B are cannabis samples comprising 100 ppb malathion. FIGS. 71C and 71D are blank cannabis samples.

FIGS. 72A-D are chromatograms of cannabis samples analyzed for the presence of dimethomorph using MRM transitions 388.1>273 (FIGS. 72A, 72C) and 388.1>301 (FIGS. 72B, 72D). FIGS. 72A and 72B are cannabis samples comprising 100 ppb dimethomorph. FIGS. 72C and 72D are blank cannabis samples.

FIGS. 73A-D are chromatograms of cannabis samples analyzed for the presence of myclobutanil using MRM transitions 289.1>70 (FIGS. 73A, 73C) and 289.1>125 (FIGS. 73B, 73D). FIGS. 73A and 73B are cannabis samples comprising 100 ppb myclobutanil. FIGS. 73C and 73D are blank cannabis samples.

FIGS. 74A-D are chromatograms of cannabis samples analyzed for the presence of bifenazate using MRM transitions 301.1>170 (FIGS. 74A, 74C) and 301.1>198 (FIGS. 74B, 74D). FIGS. 74A and 74B are cannabis samples comprising 100 ppb bifenazate. FIGS. 74C and 74D are blank cannabis samples.

FIGS. 75A-B are chromatograms of cannabis samples analyzed for the presence of fenhexamid using MRM transition 302.1>55. FIG. 75A, cannabis sample comprising 100 ppb fenhexamid. FIG. 75B, blank cannabis sample.

FIGS. 76A-D are chromatograms of cannabis samples analyzed for the presence of fipronil using MRM transitions 435>250 (FIGS. 76A, 76C) and 435>330 (FIGS. 76B, 76D). FIGS. 76A and 76B are cannabis samples comprising 100 ppb fipronil. FIGS. 76C and 76D are blank cannabis samples.

FIGS. 77A-D are chromatograms of cannabis samples analyzed for the presence of spirotetromat using MRM transitions 374.2>216 (FIGS. 77A, 77C) and 374.2>302.1 (FIGS. 77B, 77D). FIGS. 77A and 77B are cannabis samples comprising 100 ppb spirotetromat. FIGS. 77C and 77D are blank cannabis samples.

FIGS. 78A-D are chromatograms of cannabis samples analyzed for the presence of ethoprophos using MRM transitions 243.1>131 (FIGS. 78A, 78C) and 243.1>173 (FIGS. 78B, 78D). FIGS. 78A and 78B are cannabis samples comprising 100 ppb ethoprophos. FIGS. 78C and 78D are blank cannabis samples.

FIGS. 79A-D are chromatograms of cannabis samples analyzed for the presence of fenoxycarb using MRM transitions 302.1>256 (FIGS. 79A, 79C) and 302.1>116 (FIGS. 79B, 79D). FIGS. 79A and 79B are cannabis samples comprising 100 ppb fenoxycarb. FIGS. 79C and 79D are blank cannabis samples.

FIGS. 80A-D are chromatograms of cannabis samples analyzed for the presence of kresoxim-methyl using MRM transitions 314.1>222 (FIGS. 80A, 80C) and 314.1>235 (FIGS. 80B, 80D). FIGS. 80A and 80B are cannabis samples comprising 100 ppb kresoxim-methyl. FIGS. 80C and 80D are blank cannabis samples.

FIGS. 81A-D are chromatograms of cannabis samples analyzed for the presence of tebuconazole using MRM transitions 308>70 (FIGS. 81A, 81C) and 308>125 (FIGS. 81B, 81D). FIGS. 81A and 81B are cannabis samples comprising 100 ppb tebuconazole. FIGS. 81C and 81D are blank cannabis samples.

FIGS. 82A-D are chromatograms of cannabis samples analyzed for the presence of diazinon using MRM transitions 305.1>97 (FIGS. 82A, 82C) and 305.1>169 (FIGS. 82B, 82D). FIGS. 82A and 82B are cannabis samples comprising 100 ppb diazinon. FIGS. 82C and 82D are blank cannabis samples.

FIGS. 83A-D are chromatograms of cannabis samples analyzed for the presence of spinosyn A using MRM transitions 732.5>98 (FIGS. 83A, 83C) and 732.5>142 (FIGS. 83B, 83D). FIGS. 83A and 83B are cannabis samples comprising 100 ppb spinosyn A. FIGS. 83C and 83D are blank cannabis samples.

FIGS. 84A-D are chromatograms of cannabis samples analyzed for the presence of coumaphos using MRM transitions 363>226.9 (FIGS. 84A, 84C) and 363>306.9 (FIGS. 84B, 84D). FIGS. 84A and 84B are cannabis samples comprising 100 ppb coumaphos. FIGS. 84C and 84D are blank cannabis samples.

FIGS. 85A-D are chromatograms of cannabis samples analyzed for the presence of MGK-264 using MRM transitions 276.2>98 (FIGS. 85A, 85C) and 276.2>210.1 (FIGS. 85B, 85D). FIGS. 85A and 85B are cannabis samples comprising 100 ppb MGK-264. FIGS. 85C and 85D are blank cannabis samples.

FIGS. 86A-D are chromatograms of cannabis samples analyzed for the presence of clofentezine using MRM transitions 303>102 (FIGS. 86A, 86C) and 303>138 (FIGS. 86B, 86D). FIGS. 86A and 86B are cannabis samples comprising 100 ppb clofentezine. FIGS. 86C and 86D are blank cannabis samples.

FIGS. 87A-D are chromatograms of cannabis samples analyzed for the presence of propiconazole using MRM transitions 342.1>69 (FIGS. 87A, 87C) and 342.1>159 (FIGS. 87B, 87D). FIGS. 87A and 87B are cannabis samples comprising 100 ppb propiconazole. FIGS. 87C and 87D are blank cannabis samples.

FIGS. 88A-D are chromatograms of cannabis samples analyzed for the presence of prallethrin using MRM transitions 301.2>132.9 (FIGS. 88A, 88C) and 301.2>168.9 (FIGS. 88B, 88D). FIGS. 88A and 88B are cannabis samples comprising 100 ppb prallethrin. FIGS. 88C and 88D are blank cannabis samples.

FIGS. 89A-D are chromatograms of cannabis samples analyzed for the presence of spinosyn-D using MRM transitions 746.5>98 (FIGS. 89A, 89C) and 746.5>142 (FIGS. 89B, 89D). FIGS. 89A and 89B are cannabis samples comprising 100 ppb spinosyn D. FIGS. 89C and 89D are blank cannabis samples.

FIGS. 90A-D are chromatograms of cannabis samples analyzed for the presence of cyfluthrin using MRM transitions 451.1>191 (FIGS. 90A, 90C) and 451.1>434 (FIGS. 90B, 90D). FIGS. 90A and 90B are cannabis samples comprising 1000 ppb cyfluthrin. FIGS. 90C and 90D are blank cannabis samples.

FIGS. 91A-D are chromatograms of cannabis samples analyzed for the presence of trifloxystrobin using MRM transitions 409.1>186 (FIGS. 91A, 91C) and 409.1>206 (FIGS. 91B, 91D). FIGS. 91A and 91B are cannabis samples comprising 100 ppb trifloxystrobin. FIGS. 91C and 91D are blank cannabis samples.

FIGS. 92A-B are chromatograms of cannabis samples analyzed for the presence of spinetoram using MRM transition 748.5>142. FIG. 92A is a cannabis sample comprising 100 ppb spinetoram. FIG. 92B is a blank cannabis sample.

FIGS. 93A-D are chromatograms of cannabis samples analyzed for the presence of chlorfenapyr using MRM transitions 426>409 (FIGS. 93A, 93C) and 426>59.1 (FIGS. 93B, 93D). FIGS. 93A and 93B are cannabis samples comprising 1000 ppb chlorfenapyr. FIGS. 93C and 93D are blank cannabis samples.

FIGS. 94A-D are chromatograms of cannabis samples analyzed for the presence of cypermethrin using MRM transitions 433.1>127 (FIGS. 94A, 94C) and 433.1>191.1 (FIGS. 94B, 94D). FIGS. 94A and 94B are cannabis samples comprising 1000 ppb cypermethrin. FIGS. 94C and 94D are blank cannabis samples.

FIGS. 95A-D are chromatograms of cannabis samples analyzed for the presence of permethrin using MRM transitions 408.1>183 (FIGS. 95A, 95C) and 408.1>355 (FIGS. 95B, 95D). FIGS. 95A and 95B are cannabis samples comprising 100 ppb permethrin. FIGS. 95C and 95D are blank cannabis samples.

FIGS. 96A-B are chromatograms of cannabis samples analyzed for the presence of cinerin II using MRM transition 361.2>149. FIG. 96A is a cannabis sample comprising 1000 ppb cinerin II. FIG. 96B is a blank cannabis sample.

FIGS. 97A-D are chromatograms of cannabis samples analyzed for the presence of jasmolin II using MRM transitions 375.2>163 (FIGS. 97A, 97C) and 375.2>213 (FIGS. 97B, 97D). FIGS. 97A and 97B are cannabis samples comprising 100 ppb jasmolin II. FIGS. 97C and 97D are blank cannabis samples.

FIGS. 98A-D are chromatograms of cannabis samples analyzed for the presence of pyrethrin II using MRM transitions 373.2>161 (FIGS. 98A, 98C) and 373.2>143 (FIGS. 98B, 98D). FIGS. 98A and 98B are cannabis samples comprising 1000 ppb pyrethrin II. FIGS. 98C and 98D are blank cannabis samples.

FIGS. 99A-D are chromatograms of cannabis samples analyzed for the presence of jasmolin I using MRM transitions 331.2>163 (FIGS. 99A, 99C) and 331.2>121 (FIGS. 99B, 99D). FIGS. 99A and 99B are cannabis samples comprising 1000 ppb jasmolin I. FIGS. 99C and 99D are blank cannabis samples.

FIGS. 100A-B are chromatograms of cannabis samples analyzed for the presence of cinerin 1 using MRM transition 317.2>107. FIG. 100A is a cannabis sample comprising 1000 ppb cinerin 1. FIG. 100B is a blank cannabis sample.

FIGS. 101A-C are chromatograms of cannabis samples analyzed for the presence of pyrethrin I using MRM transitions 329.2>143 (FIG. 101A) and 329.2>161 (FIGS. 101B, 101C). FIGS. 101A and 101B are cannabis samples comprising 580 ppb pyrethrin I. FIG. 101C is a blank cannabis sample.

FIGS. 102A-D are chromatograms of cannabis samples analyzed for the presence of chlorpyrifos using MRM transitions 349.9>97 (FIGS. 102A, 102C) and 349.9>321.9 (FIGS. 102B, 102D). FIGS. 102A and 102B are cannabis samples comprising 100 ppb chlorpyrifos. FIGS. 102C and 102D are blank cannabis samples.

FIGS. 103A-D are chromatograms of cannabis samples analyzed for the presence of piperonyl butoxide using MRM transitions 356.2>119 (FIGS. 103A, 103C) and 356.2>177 (FIGS. 103B, 103D). FIGS. 103A and 103B are cannabis samples comprising 100 ppb piperonyl butoxide. FIGS. 103C and 103D are blank cannabis samples.

FIGS. 104A-D are chromatograms of cannabis samples analyzed for the presence of hexythiazox using MRM transitions 353.1>168 (FIGS. 104A, 104C) and 353.1>228 (FIGS. 104B, 104D). FIGS. 104A and 104B are cannabis samples comprising 100 ppb hexythiazox. FIGS. 104C and 104D are blank cannabis samples.

FIGS. 105A-D are chromatograms of cannabis samples analyzed for the presence of etoxazole using MRM transitions 360.2>57.1 (FIGS. 105A, 105C) and 360.2>141 (FIGS. 105B, 105D). FIGS. 105A and 105B are cannabis samples comprising 100 ppb etoxazole. FIGS. 105C and 105D are blank cannabis samples.

FIGS. 106A-D are chromatograms of cannabis samples analyzed for the presence of spiromesifen using MRM transitions 273.1>187 (FIGS. 106A, 106C) and 273.1>255 (FIGS. 106B, 106D). FIGS. 106A and 106B are cannabis samples comprising 100 ppb spiromesifen. FIGS. 106C and 106D are blank cannabis samples.

FIGS. 107A-D are chromatograms of cannabis samples analyzed for the presence of fenpyroximate using MRM transitions 422.2>135 (FIGS. 107A, 107C) and 422.2>366.1 (FIGS. 107B, 107D). FIGS. 107A and 107B are cannabis samples comprising 100 ppb fenpyroximate. FIGS. 107C and 107D are blank cannabis samples.

FIGS. 108A-D are chromatograms of cannabis samples analyzed for the presence of pyridaben using MRM transitions 365.1>147 (FIGS. 108A, 108C) and 365.1>309 (FIGS. 108B, 108D). FIGS. 108A and 108B are cannabis samples comprising 100 ppb pyridaben. FIGS. 108C and 108D are blank cannabis samples.

FIGS. 109A-D are chromatograms of cannabis samples analyzed for the presence of abamectin using MRM transitions 890.5>305.1 (FIGS. 109A, 109C) and 890.5>567.2 (FIGS. 109B, 109D). FIGS. 109A and 109B are cannabis samples comprising 100 ppb abamectin. FIGS. 109C and 109D are blank cannabis samples.

FIGS. 110A-D are chromatograms of cannabis samples analyzed for the presence of etofenprox using MRM transitions 394.2>107.1 (FIGS. 110A, 110C) and 394.2>177.1 (FIGS. 110B, 110D). FIGS. 110A and 110B are cannabis samples comprising 100 ppb etofenprox. FIGS. 110C and 110D are blank cannabis samples.

FIGS. 111A-D are chromatograms of cannabis samples analyzed for the presence of acequinocyl using MRM transitions 402.2>189 (FIGS. 111A, 111C) and 402.2>343.1 (FIGS. 111B, 111D). FIGS. 111A and 111B are cannabis samples comprising 100 ppb acequinocyl. FIGS. 111C and 111D are blank cannabis samples.

FIGS. 112A-D are chromatograms of cannabis samples analyzed for the presence of bifenthrin using MRM transitions 440.1>166.1 (FIGS. 112A, 112C) and 440.1>181.1 (FIGS. 112B, 112D). FIGS. 112A and 112B are cannabis samples comprising 100 ppb bifenthrin. FIGS. 112C and 112D are blank cannabis samples.

FIGS. 113A-D are chromatograms of cannabis samples comprising 100 ppb naled (dibrom) analyzed for the presence of naled using MRM transitions 380.8>127 (FIG. 113A), 378.8>127 (FIG. 113B), 382.8>127 (FIG. 113C), and 378.8>109 (FIG. 113D).

FIGS. 114A-H are chromatograms of cannabis samples analyzed for the presence of propiconazole using MRM transitions 342>69 (FIGS. 114A, 114C), 342>159 (FIGS. 114B, 114D), 344>69 (FIGS. 114E, 114G), and 344>161 (FIGS. 114F, 114H). FIGS. 114A, 114B, 114E, and 114F are cannabis samples comprising 10 ppb propiconazole. FIGS. 114C, 114D, 114G, and 114H are blank cannabis samples.

FIGS. 114I-J are chromatograms of cannabis samples comprising 100 ppb propiconazole and analyzed for the presence of propiconazole using MRM transitions 342>69 (FIG. 114I) and 342>159 (FIG. 114J).

FIGS. 114K-L are chromatograms of cannabis samples comprising 100 ppb propiconazole and analyzed for the presence of propiconazole using MRM transitions 344>69 (FIG. 114K) and 344>161 (FIG. 114L).

FIGS. 115A-H are chromatograms of cannabis samples comprising 1000 ppb chlorfenapyr and analyzed for the presence of chlorfenapyr using MRM transitions 423.9>59 (FIG. 115A), 406.9>59 (FIG. 115B), 425.9>59 (FIG. 115C), 425.9>408.9 (FIG. 115D), 408.9>59 (FIG. 115E), 423.9>406.9 (FIG. 115F), 408.9>378.8 (FIG. 115G), and 408.9>270.9 (FIG. 115H).

FIGS. 116A-F are chromatograms of cannabis samples comprising 1000 ppb cyfluthrin and analyzed for the presence of cyfluthrin using MRM transitions 451>191 (FIG. 116A), 453>193 (FIG. 116B), 451>127 (FIG. 116C), 451>206 (FIG. 116D), 451>434 (FIG. 116E), and 453>436 (FIG. 116F).

FIGS. 117A-E are chromatograms of cannabis samples comprising 1000 ppb cypermethrin and analyzed for the presence of cypermethrin using MRM transitions 435.1>193.1 (FIG. 117A), 433.1>191.1 (FIG. 117B), 433.1>127 (FIG. 117C), 435.1>127 (FIG. 117D), and 433.1>91 (FIG. 117E).

FIG. 118A, overlay of response of cannabis matrix (left trace) and acequinocyl (right trace) spiked at level of 0.1 μg/g in cannabis matrix with MRM transition based on protonated molecular ion.

FIG. 118B, overlay of response of cannabis matrix (lower trace) and acequinocyl (upper trace) spiked at level of 0.1 μg/g in cannabis matrix with MRM transition based on adduct ion.

FIGS. 119A-F are chromatograms of a representative set of pesticides spiked at level of 0.01 μg/g in cannabis matrix. FIG. 119A, oxamyl; FIG. 119B, metalaxyl; FIG. 119C, fenpyroximate; FIG. 119D, mycyclobutanil; FIG. 119E, etofenprox; and FIG. 119F, azoxystrobin.

FIG. 120. Long term stability data over 1 week of injections of diazinon at a level of 100 ng/mL spiked in cannabis flower matrix extract comprising 100 ng/mL of diazinon.

FIGS. 121A-D. Graphs showing examples of matrix matched calibration curves for pesticides in cannabis. FIG. 121A, myclobutanil; FIG. 121B, diazinon; FIG. 121C, metalaxyl; and FIG. 121D, phosmet.

FIGS. 122A-B are chromatograms of cannabis samples comprising 100 ppb acephate and prepared using two extraction methods. FIG. 122A, acetonitrile. FIG. 122B, 50:50 acetonitrile and methanol.

FIGS. 123A-B are chromatograms of cannabis samples comprising 100 ppb chlorfenapyr and ionized using an APCI source. FIG. 123A, MRM transition 346.9>79; FIG. 123B, MRM transition 348.09>81.

DETAILED DESCRIPTION

The analysis of pesticides, e.g., in botanical material, typically requires using both gas chromatography mass spectrometry (GC-MS) and liquid chromatography mass spectrometry (LC-MS) methods because some non-polar and chlorinated pesticides are difficult to ionize with the electrospray ion source used in LC-MS systems. This disclosure provides simple, cost-effective, rapid, and robust LC-MS/MS methods that provide limits of quantification (LOQs) for panels of pesticides well below, for example, the action limits set by state regulators for these compounds in, for example, cannabis products.

In fact, the disclosed methods and systems are particularly useful for detection and/or quantification of pesticides in samples comprising cannabis plant material. Unless otherwise specified in this disclosure, “cannabis” encompasses all varieties of cannabis plants including, but not limited to, cannabis plants containing relatively high levels of tetrahydrocannabinol (THC), such as marijuana; and cannabis plants containing lower levels of THC and higher levels of cannabidiol (CBD), such as hemp. Cannabis plant material comprises a complex matrix that includes components such as cannabinoids, terpenes, and other non-cannabinoid compounds. Cannabinoids are typically present in cannabis plant material in amounts ranging from 10-20% (corresponding from 100,000 to 200,000 parts per million (ppm)). Terpenes and other non-cannabinoid compounds are also present in high amounts, ranging approximately from 10 to 5,000 ppm. In order to ensure safety for human consumption and/or compliance with regulatory action limits, however, pesticide levels need to be detected in amounts ranging from 0.00001 to 00010% (corresponding to 100 to 1,000 parts per billion (ppb)). Accordingly, interference from matrix components, such as cannabinoids, terpenes, and other compounds, can overwhelm and mask desired signals from trace amounts of pesticides in cannabis samples. Moreover, in certain embodiments, samples comprising cannabis extracts are diluted by factors of 10 (e.g., to reduce levels of matrix interference). Detection of small quantities of pesticides in diluted samples such as these accordingly requires extremely sensitive techniques. The approaches described herein provide sufficient sensitivity to detect and/or quantify pesticides at levels well below the various action limits specified by Oregon and California regulatory agencies.

In addition, while certain pesticides found in such regulatory panels can be analyzed via ESI, which is implemented in combination with LC separation in LC-based instruments, several cannot. In particular, pesticides that particularly hydrophobic and/or chlorinated (e.g., quintozene (also referred to as pentachloronitrobenzene), chlordane, endosulfan I, endosulfan II, and etridiazole) cannot be analyzed using ESI techniques or other conventional LC-compatible ionization methods. Instead, GC-based techniques are typically used to analyze these pesticides. Accordingly, testing samples for panels of pesticides generally requires multiple runs on multiple mass spectrometry instruments (LC-based instruments and GC-based instruments), making pesticide detection and/or quantification of samples expensive and time-consuming.

The approaches described herein overcome a number of challenges associated with detection of pesticides that limit accuracy and make conventional pesticide detection approaches a costly and time consuming process. First, the methods use one or more MRM transitions for each pesticide that have little or no matrix interference, improving the LOQs for acequinocyl and propiconazole, for example, by 20- and 5-fold, respectively.

Second, the disclosed methods permit detection of pesticides that typically have low signals in cannabis samples (e.g., abamectin, naled, daminozide, MGK-264).

Third, the methods use a fast LC method for high sample throughput and can reduce run time from 30 minutes to 18.5 minutes, including equilibration time.

Fourth, the disclosed methods include simple and fast sample preparation procedures with acceptable recoveries.

Fifth, the disclosed methods can detect pesticides which have low proton affinity and, therefore, low ionization efficiency (e.g., cypermethrin, cyfluthrin, captan, naled, permethrin, and pyrethrins).

Sixth, the methods use an APCI source to ionize highly chlorinated and non-polar pesticides (e.g., PCNB, chlordane), which eliminates the need to use GC-MS to detect these pesticides. This permits the analysis of panels of pesticides and mycotoxins to be carried out using only one instrument (e.g., a PerkinElmer QSIGHT® triple quad LC-MS/MS system), eliminating the need to change hardware.

Seventh, even for chlorfenapyr, which typically is analyzed using an ESI source, the disclosed methods provide not only recommended MRM transitions for use with an ESI source, but also MRM transitions that can be used with an APCI source to provide less matrix interference and less ion suppression which provides better sensitivity than ESI source for analysis of this compound in cannabis matrix.

Eighth, the testing of pesticides in complex matrices such as can foul conventional GC-MS and LC-MS systems rapidly, increasing maintenance costs and downtime, resulting in loss of productivity. Therefore, in some embodiments, the QSight system's STAYCLEAN™ technology is used. This technology employs hot-surface induced desolvation (HSID™), in which a continuous flow of hot gas acts as a constant cleaning agent to flush away potential deposits. Ions are transferred from the HSID interface to the system's laminar flow ion guide, then moved to the analyzing region by a flow of background gas and no axial electrical fields are necessary. This means that the QSight system is not susceptible to electric field fluctuations and delivers consistently high levels of performance without stopping for periodic maintenance while analyzing pesticides in these complex matrices.

Ninth, conventional LCMSMS approaches that utilize APCI or ESI sources use LC methods that employ mobile phases with additives such as formic acid, ammonium formate, and others. These additives are believed to assist with ionization of analytes in samples. In certain embodiments, however, the APCI technique described herein leverages the surprising discovery that detection and/or quantification limits for certain pesticides improved when LC methods that excluded certain additives (e.g., up to all additives) were used to produce the separation stream that was ionized with the APCI source.

In particular, in order to detect and/or quantify certain particularly hydrophobic and/or chlorinated pesticides (e.g., chlordane, quintozene, endosulfan I, endosulfan II, etridiazole), samples may be processed using LC methods that employ mobile phases without acidic and/or neutral additives (e.g., without any additives) and subsequently ionized with an APCI source. In certain embodiments, LC methods that employ mobile phases that include neutral additives (e.g., ammonium acetate; e.g., ammonium formate), but exclude acidic additives are used in combination with APCI.

Without wishing to be bound to a particular theory or observation, it was found that when such pesticides were analyzed using an APCI source, highest signals were observed when LC methods employing mobile phases without any additives were used. Addition of neutral additives, such as ammonium acetate and ammonium formate, was observed to reduce signals by a factor of 2 to 5. Signals for chlorinated pesticides ionized with an APCI source were found to be reduced by factors of 20 to 50 when acidic additives, such as formic acid and acetic acid, were used.

MRM Transitions

This disclosure provides one or more specific MRM transition for each pesticide In this disclosure, MRM transitions are identified by two numbers that correspond to a first and a second m/z value, respectively, separated by “>” or “/” (e.g., 385.2>343.1 or 385.2/343.1). That is, the first value corresponds to the precursor ion, and the second value corresponds to the product ion after fragmentation of the precursor ion in the collision cell. Depending on the sensitivity of the mass spectrometer, some variability is possible for the transitions provided in this disclosure (e.g., ±0.1 or ±0.2). Thus, for example, “385.2>343.1” may encompass one or more of 385.1>343.1, 385.0>343.1, 385.3>343.1, 385.4>343.1, 385.1>343.2, 385.0>343.2, 385.3>343.2, 385.4>343.2, 385.1>343.3, 385.0>343.3, 385.3>343.3, 385.4>343.3, 385.1>343.0, 385.0>343.0, 385.3>343.0, 385.4>343.0, 385.1>342.9, 385.0>342.9, 385.3>342.9, and 385.4>342.9.

Pesticides that can be detected using the disclosed methods are listed in Table 1 and include pesticides (in bold) that typically are analyzed using GC-MS. The unique MRM transitions used to detect these pesticides are provided in Table 2A and in Table 3. Recommended MRM transitions for detecting mycotoxins are provided in Table 4.

The following abbreviations are used in Tables 2A, 2B, 3, and 4: Q1 (first quadrupole), Q2 (second quadrulpole), CE (collision energy), EV (electronvolt), and CCL2 (collision cell lens 2). In Table 2B, Table 3, and Table 4, the columns labeled “Expected R.T.” (expected retention time), “ΔTime” (Total+−change in retention time from expected retention time), “Res” (resolution settings on quadrupole 1 and 2, and “Res_Diff” (Resolution different when default unit/unit resolution setting is not used) refer to those parameters when a PerkinElmer QSight LC-MS/MS system is used.

TABLE 1 Pesticides and CAS Numbers Pesticide CAS Number Abamectin 71751-41-2 Acephate 30560-19-1 Acequinocyl 57960-19-17 Acetamiprid 135410-20-7 Aldicarb 116-06-3 Azoxystrobin 131860-33-8 Bifenazate 149877-41-8 Bifenthrin 82657-04-3 Boscalid 188425-85-6 Captan 133-06-2 Carbaryl 63-25-2 Carbofuran 1563-66-2 Chlorantraniliprole 500008-45-7 Chlordane 57-74-9 Chlorfenapyr 122453-73-0 Chlorpyrifos 2921-88-2 Clofentezine 74115-24-5 Coumaphos 56-72-4 Cyfluthrin 68359-37-5 Cypermethrin 52315-07-8 daminozide 1596-84-5 DDVP (Dichlorvos) 62-73-7 Diazinon 333-41-5 Dimethoate 60-51-5 Dimethomorph 110488-70-5 Ethoprop(hos) 131947-48-4 Etofenprox 80844-07-1 Etoxazole 153233-91-1 Etridiazole 2593-15-9 Fenhexamid 126833-17-8 Fenoxycarb 72490-01-8 Fenpyroximate 111812-58-9 Fipronil 120068-37-3 Flonicamid 158062-67-0 Fludioxonil 131341-86-1 Hexythiazox 78587-05-0 Imazalil 35554-44-0 Imidacloprid 138261-41-3 Kresoxim-methyl 143390-89-0 Malathion 121-75-5 Metalaxyl 57837-19-1 Methiocarb 2032-65-7 Methomyl 16752-77-5 Methyl parathion (also 298-00-0 referred to as parathion methyl or methylparathion) Mevinphos 7786-34-7 Myclobutanil 88671-89-0 Naled 300-76-5 N-Octyl bicycloheptene 113-48-4 dicarboximide (MGK-264) Oxamyl 23125-22-0 Paclobutrazol 76738-62-0 Pentachloronitrobenzene 82-68-8 (PCNB; quintozene) Permethrin 52645-53-1 Phosmet 731-11-6 Piperonylbutoxide 51-03-6 Prallethrin 23031-36-9 Propiconazole 60207-90-1 Propoxur 114-26-1 Pyrethrins 8003-34-7 Pyridaben 96489-71-3 Spinetoram 187166-15-0, 187166-40-1 Spinosad 131929-60-7, 131929-63-0 Spiromesifen 283594-90-1 Spirotetramat 203313-25-1 Spiroxamine 118134-30-8 Tebuconazole 107534-96-3 Thiacloprid 111988-49-9 Thiamethoxam 153719-23-4 Trifloxystrobin 141517-21-7

TABLE 2A Recommended MRM transitions for ESI-MS. Mode Target Q1 Q2 CE EV CCL2 + Abamectin-1 890.5 145.0 −48 10 −110 + Abamectin-2 890.5 305.1 −36 10 −100 + Abamectin-3 890.5 567.2 −18 20 −90 + Acephate-1 184.0 49.0 −28 20 −40 + Acephate-2 184.0 95.0 −32 20 −40 + Acephate-3 184.0 143.0 −14 20 −50 + Acequinocyl-1 402.2 343.1 −20 10 −70 + Acequinocyl-2 402.2 189.0 −40 10 −70 + Acetamiprid-1 223.1 99.0 −58 20 −80 + Acetamiprid-2 223.1 126.0 −30 20 −70 + Aldicarb-1 208.0 116.0 −8 15 −30 + Aldicarb-2 208.0 89.0 −22 15 −30 + Atrazine-D₅ 221.1 179.0 −24 10 −70 + Azoxystrobin-1 404.1 344.0 −32 20 −90 + Azoxystrobin-2 404.1 372.0 −20 20 −70 + Bifenazate-1 301.1 170.0 −30 20 −70 + Bifenazate-2 301.1 198.0 −18 20 −45 + Bifenthrin-1 440.1 166.1 −76 15 −90 + Bifenthrin-2 440.1 181.1 −28 15 −70 + Boscalid-1 343.0 140.0 −28 20 −70 + Boscalid-2 343.0 272.0 −44 20 −100 + Boscalid-3 343.0 307.0 −26 20 −65 + Captan-1 316.9 263.9 −16 12 −55 + Captan-2 316.9 235.9 −24 12 −65 + Captan-3 318.9 265.9 −16 12 −55 + Captan-4 318.9 237.9 −24 12 −65 + Carbaryl-1 202.1 127.0 −42 20 −40 + Carbaryl-2 202.1 145.0 −20 20 −40 + Carbaryl-D₇ 209.2 152.1 −25 20 −70 + Carbofuran-1 222.1 123.0 −30 20 −60 + Carbofuran-2 222.1 165.0 −18 20 −50 + Chlorantraniliprole-1 484.0 285.9 −18 20 −60 + Chlorantraniliprole-2 484.0 452.9 −22 20 −80 + Chlorfenapyr-1 409.0 59.1 −22 35 −60 + Chlorfenapyr-2 407.0 59.1 −22 35 −50 + Chlorfenapyr-3 424.0 59.1 −26 10 −60 + Chlorfenapyr-4 426.0 59.1 −26 10 −60 + Chlorpyrifos-1 349.9 97.0 −66 20 −90 + Chlorpyrifos-2 349.9 198.0 −28 20 −70 + Chlorpyrifos-3 349.9 321.9 −14 20 −60 + Cinerin-I-1 317.2 107.0 −42 20 −70 + Cinerin-I-2 317.2 121.0 −25 20 −70 + Cinerin-I-3 317.2 149.0 −16 20 −70 + Cinerin-II-1 361.2 149.0 −18 20 −75 + Cinerin-II-2 361.2 213.0 −16 20 −75 + Clofentezine-1 303.0 102.0 −54 20 −70 + Clofentezine-2 303.0 138.0 −22 20 −60 + Coumaphos-1 363.0 306.9 −22 30 −80 + Coumaphos-2 363.0 334.9 −20 30 −75 + Coumaphos-3 363.0 226.9 −32 30 −100 + Cyfluthrin-1 453.1 193.0 −21 15 −60 + Cyfluthrin-2 451.1 127.0 −46 15 −75 + Cyfluthrin-3 451.1 191.0 −24 15 −60 + Cyfluthrin-4 451.1 206.0 −66 15 −60 + Cypermethrin-1 435.1 193.1 −23 15 −60 + Cypermethrin-2 435.1 127.0 −50 15 −70 + Cypermethrin-3 433.1 127.0 −52 15 −70 + Cypermethrin-4 433.1 191.1 −24 15 −60 + Daminozide-1 161.1 44.0 −50 20 −30 + Daminozide-2 161.1 45.0 −30 20 −30 + Daminozide-3 161.1 143.0 −14 20 −30 + Daminozide-D₄ 165.1 147.0 −14 15 −40 + Diazinon-1 305.1 97.0 −66 20 −60 + Diazinon-2 305.1 169.0 −34 20 −60 + Diazinon-D₁₀ 315.2 170.0 −33 10 −68 + Dichlorvos-1 220.9 109.0 −22 20 −50 + Dichlorvos-2 220.9 127.0 −32 20 −60 + Dichlorvos-D₆ 227.0 115.0 −13 10 −60 + Dimethoate-1 230.0 125.0 −32 20 −60 + Dimethoate-2 230.0 199.0 −12 20 −40 + Dimethoate-D₆ 236.1 205.0 −12 10 −60 + Dimethomorph-1 388.1 301.0 −26 15 −80 + Dimethomorph-2 388.1 273.0 −42 15 −85 + Ethoprophos-1 243.1 131.0 −28 20 −50 + Ethoprophos-2 243.1 173.0 −20 20 −50 + Etofenprox-1 394.2 107.1 −78 15 −90 + Etofenprox-2 394.2 177.1 −28 15 −60 + Etofenprox-3 394.2 359.1 −14 15 −60 + Etoxazole-1 360.2 57.1 −60 20 −80 + Etoxazole-2 360.2 141.0 −50 20 −70 + Fenhexamid-1 302.1 55.0 −68 30 −80 + Fenhexamid-2 302.1 97.0 −32 30 −55 + Fenoxycarb-1 302.1 88.0 −32 20 −60 + Fenoxycarb-2 302.1 116.0 −14 20 −50 + Fenoxycarb-3 302.1 256.0 −14 20 −50 + Fenpyroximate-1 422.2 135.0 −46 20 −75 + Fenpyroximate-2 422.2 138.0 −74 20 −110 + Fenpyroximate-3 422.2 366.1 −24 20 −60 − Fipronil-1 435.0 250.0 36 −20 80 − Fipronil-2 435.0 330.0 20 −20 70 + Flonicamid-1 230.1 174.0 −22 20 −60 + Flonicamid-2 230.1 203.0 −22 20 −50 − Fludioxonil-1 247.1 126.0 42 −20 80 − Fludioxonil-2 247.1 180.0 39 −20 70 + Hexythiazox-1 353.1 168.0 −34 20 −70 + Hexythiazox-2 353.1 228.0 −22 20 −60 + Imazalil-1 297.0 41.0 −76 20 −80 + Imazalil-2 297.0 159.0 −28 20 −60 + Imazalil-3 297.0 201.0 −24 20 −60 + Imidacloprid-1 256.1 175.0 −24 20 −60 + Imidacloprid-2 256.1 209.0 −22 20 −60 + Imidacloprid-D₄ 260.2 213.0 −18 20 −60 + Jasmolin-I-2 331.2 121.0 −28 20 −50 + Jasmolin-I-3 331.2 163.0 −16 20 −50 + Jasmolin-II-2 375.2 163.0 −16 20 −60 + Jasmolin-II-3 375.2 213.0 −14 20 −65 + Kresoxim-methyl-1 314.1 222.0 −22 20 −60 + Kresoxim-methyl-2 314.1 235.0 −20 20 −50 + Malathion-1 331.0 127.0 −16 20 −60 + Malathion-2 331.0 285.0 −10 20 −60 + Metalaxyl-1 280.2 192.1 −22 20 −60 + Metalaxyl-2 280.2 220.1 −18 20 −50 + Metalaxyl-3 280.2 248.1 −14 20 −50 + Methiocarb-1 226.1 121.0 −26 20 −45 + Methiocarb-2 226.1 169.0 −14 20 −35 + Methomyl-1 163.1 88.0 −14 20 −30 + Methomyl-2 163.1 106.0 −14 20 −30 + Mevinphos-1 242.0 127.0 −20 12 −50 + Mevinphos-2 242.0 109.0 −48 12 −80 + Mevinphos-3 225.0 127.0 −20 25 −50 + Mevinphos-4 225.0 109.0 −48 25 −80 + Myclobutanil-1 289.1 70.0 −24 20 −60 + Myclobutanil-2 289.1 125.0 −48 20 −90 + Myclcobutanil-D₉ 298.0 70.0 −22 20 −40 + Naled-1 380.8 127.0 −20 20 −80 + Naled-2 382.8 127.0 −20 20 −80 + Naled-3 380.8 109.0 −64 20 −80 + N-Octyl 276.2 210.0 −20 20 −60 bicycloheptene dicarboximide (MGK-264)-1 + N-Octyl 276.2 98.0 −32 20 −60 bicycloheptene dicarboximide (MGK-264)-2 + Oxamyl-1 237.1 72.0 −36 15 −80 + Oxamyl-2 237.1 90.0 −12 15 −35 + Paclobutrazol-1 294.1 70.0 −25 20 −60 + Paclobutrazol-2 294.1 125.0 −48 20 −70 + Parathion methyl-1 264.0 124.9 −24 20 −70 + Parathion methyl -2 264.0 231.9 −20 20 −50 + Permethrin-1 408.1 183.0 −44 15 −70 + Permethrin-2 408.1 355.0 −12 15 −60 + Phosmet-1 318.0 133.0 −62 20 −75 + Phosmet-2 318.0 160.0 −34 20 −60 + Piperonyl butoxide-1 356.2 119.0 −52 10 −60 + Piperonyl butoxide-2 356.2 177.0 −28 10 −50 + Prallethrin-1 301.2 123.0 −22 20 −50 + Prallethrin-2 301.2 132.9 −16 20 −50 + Prallethrin-3 301.2 168.9 −12 20 −50 + Propiconazole-1 342.1 69.0 −28 20 −60 + Propiconazole-2 342.1 159.0 −52 20 −80 + Propiconazole-3 344.1 69.0 −28 20 −60 + Propiconazole-4 344.1 161.0 −52 20 −80 + Propoxur-1 210.1 111.0 −22 20 −40 + Propoxur-2 210.1 168.0 −12 20 −40 + Pyrethrin-I-2 329.2 143.0 −32 20 −60 + Pyrethrin-I-3 329.2 161.0 −16 20 −50 + Pyrethrin-II-2 373.2 143.0 −38 20 −50 + Pyrethrin-II-3 373.2 161.0 −14 20 −50 + Pyridaben-1 365.1 147.0 −36 20 −70 + Pyridaben-2 365.1 309.0 −20 20 −60 + Pyridaben-D₁₃ 378.0 160.0 −36 20 −65 + Spinetoram-1 748.5 98.0 −96 15 −140 + Spinetoram-2 748.5 142.0 −38 15 −120 + Spinosyn A-1 732.5 98.0 −80 20 −100 + Spinosyn A-2 732.5 142.0 −38 20 −90 + Spinosyn D-1 746.5 98.0 −76 20 −100 + Spinosyn D-2 746.5 142.0 −40 20 −90 + Spiromesifen-1 273.1 187.0 −24 40 −50 + Spiromesifen-2 273.1 255.0 −20 40 −50 + Spirotetramat-1 374.2 216.0 −46 20 −90 + Spirotetramat-2 374.2 302.1 −22 20 −60 + Spiroxamine-1 298.3 100.1 −50 20 −70 + Spiroxamine-2 298.3 144.1 −28 20 −60 + Tebuconazole-1 308.0 70.0 −28 20 −55 + Tebuconazole-2 308.0 125.0 −52 20 −90 + Thiachloprid-1 253.0 99.0 −66 20 −100 + Thiachloprid-2 253.0 126.0 −30 20 −80 + Thiamethoxam-1 292.0 181.0 −34 20 −70 + Thiamethoxam-2 292.0 211.0 −18 20 −60 + Thiamethoxam-D₄ 296.0 215.0 −18 20 −60 + Thiophanate methyl-1 343.1 151.0 −30 20 −60 + Thiophanate methyl-2 343.1 268.0 −14 20 −60 + Trifloxystrobin-1 409.1 186.0 −28 20 −60 + Trifloxystrobin-2 409.1 206.0 −20 20 −60

TABLE 2B Parameters for PerkinElmer QSight Expected Target R.T. ΔTime Res Res_Diff Abamectin-1 12.71 0.7 Low_Low Low_Low Abamectin-2 12.71 0.7 Low_Low Low_Low Abamectin-3 12.71 0.7 Low_Low Low_Low Acephate-1 2.10 3.6 Low_Unit Low_Unit Acephate-2 2.10 3.6 Low_Unit Low_Unit Acephate-3 2.10 3.6 Low_Unit Low_Unit Acequinocyl-1 14.09 0.7 Unit_Unit Acequinocyl-2 14.09 0.7 Unit_Unit Acetamiprid-1 5.05 0.7 Unit_Unit Acetamiprid-2 5.05 0.7 Unit_Unit Aldicarb-1 5.55 0.7 Unit_Unit Aldicarb-2 5.55 0.7 Unit_Unit Atrazine-D5 6.82 0.7 Unit_Unit Azoxystrobin-1 7.58 0.7 Unit_Unit Azoxystrobin-2 7.58 0.7 Unit_Unit Bifenazate-1 8.22 0.7 Unit_Unit Bifenazate-2 8.22 0.7 Unit_Unit Bifenthrin-1 12.96 0.7 Unit_Unit Bifenthrin-2 12.96 0.7 Unit_Unit Boscalid-1 7.77 0.7 Unit_Unit Boscalid-2 7.77 0.7 Unit_Unit Boscalid-3 7.77 0.7 Unit_Unit Captan-1 7.19 0.7 Unit_Unit Captan-2 7.19 0.7 Unit_Unit Captan-3 7.19 0.7 Unit_Unit Captan-4 7.19 0.7 Unit_Unit Carbaryl-1 6.23 0.7 Unit_Unit Carbaryl-2 6.23 0.7 Unit_Unit Carbaryl-D7 6.18 0.7 Unit_Unit Carbofuran-1 6.02 0.7 Unit_Unit Carbofuran-2 6.02 0.7 Unit_Unit Chlorantraniliprole-1 7.11 0.7 Low_Unit Low_Unit Chlorantraniliprole-2 7.11 0.7 Low_Unit Low_Unit Chlorfenapyr-1 10.31 0.7 Unit_Unit Chlorfenapyr-2 10.31 0.7 Unit_Unit Chlorfenapyr-3 10.31 0.7 Unit_Unit Chlorfenapyr-4 10.31 0.7 Unit_Unit Chlorpyrifos-1 11.21 0.7 Unit_Unit Chlorpyrifos-2 11.21 0.7 Unit_Unit Chlorpyrifos-3 11.21 0.7 Unit_Unit Cinerin-I-1 11.85 0.7 Unit_Unit Cinerin-I-2 11.85 0.7 Unit_Unit Cinerin-I-3 11.85 0.7 Unit_Unit Cinerin-II-1 10.40 0.7 Unit_Unit Cinerin-II-2 10.40 0.7 Unit_Unit Clofentezine-1 9.70 0.7 Unit_Unit Clofentezine-2 9.70 0.7 Unit_Unit Coumaphos-1 9.61 0.7 Unit_Unit Coumaphos-2 9.61 0.7 Unit_Unit Coumaphos-3 9.61 0.7 Unit_Unit Cyfluthrin-1 11.60 1.5 Unit_Unit Cyfluthrin-2 11.60 1.5 Unit_Unit Cyfluthrin-3 11.60 1.5 Unit_Unit Cyfluthrin-4 11.60 1.5 Unit_Unit Cypermethrin-1 11.85 1.5 Unit_Unit Cypermethrin-2 11.85 1.5 Unit_Unit Cypermethrin-3 11.85 1.5 Unit_Unit Cypermethrin-4 11.85 1.5 Unit_Unit Daminozide-1 1.50 3 Unit_Unit Daminozide-2 1.50 3 Unit_Unit Daminozide-3 1.50 3 Unit_Unit Daminozide-D₄ 1.50 3 Unit_Unit Diazinon-1 9.55 0.7 Unit_Unit Diazinon-2 9.55 0.7 Unit_Unit Diazinon-D₁₀ 9.46 0.7 Unit_Unit Dichlorvos-1 5.96 0.7 Unit_Unit Dichlorvos-2 5.96 0.7 Unit_Unit Dichlorvos-D₆ 5.93 0.7 Unit_Unit Dimethoate-1 4.94 0.8 Unit_Unit Dimethoate-2 4.94 0.8 Unit_Unit Dimethoate-D₆ 4.90 0.8 Unit_Unit Dimethomorph-1 8.17 1.2 Unit_Unit Dimethomorph-2 8.17 1.2 Unit_Unit Ethoprophos-1 8.87 0.7 Unit_Unit Ethoprophos-2 8.87 0.7 Unit_Unit Etofenprox-1 12.96 0.7 Unit_Unit Etofenprox-2 12.96 0.7 Unit_Unit Etofenprox-3 12.96 0.7 Unit_Unit Etoxazole-1 11.68 0.7 Unit_Unit Etoxazole-2 11.68 0.7 Unit_Unit Fenhexamid-1 8.39 0.7 Unit_Unit Fenhexamid-2 8.39 0.7 Unit_Unit Fenoxycarb-1 8.96 0.7 Unit_Unit Fenoxycarb-2 8.96 0.7 Unit_Unit Fenoxycarb-3 8.96 0.7 Unit_Unit Fenpyroximate-1 12.21 0.7 Unit_Unit Fenpyroximate-2 12.21 0.7 Unit_Unit Fenpyroximate-3 12.21 0.7 Unit_Unit Fipronil-1 8.62 0.7 Low_Low Low_Low Fipronil-2 8.62 0.7 Low_Low Low_Low Flonicamid-1 4.10 1 Unit_Unit Flonicamid-2 4.10 1 Unit_Unit Fludioxonil-1 7.70 0.7 Low_Low Low_Low Fludioxonil-2 7.70 0.7 Low_Low Low_Low Hexythiazox-1 11.25 0.7 Unit_Unit Hexythiazox-2 11.25 0.7 Unit_Unit Imazalil-1 6.14 1.4 Unit_Unit Imazalil-2 6.14 1.4 Unit_Unit Imazalil-3 6.14 1.4 Unit_Unit Imidacloprid-1 4.60 0.8 Unit_Unit Imidacloprid-2 4.60 0.8 Unit_Unit Imidacloprid-D4 4.60 0.8 Unit_Unit Jasmolin-I-2 12.36 0.7 Unit_Unit Jasmolin-I-3 12.36 0.7 Unit_Unit Jasmolin-II-2 11.05 0.7 Unit_Unit Jasmolin-II-3 11.05 0.7 Unit_Unit Kresoxim-methyl-1 9.16 0.7 Unit_Unit Kresoxim-methyl-2 9.16 0.7 Unit_Unit Malathion-1 7.98 0.7 Unit_Unit Malathion-2 7.98 0.7 Unit_Unit Metalaxyl-1 7.11 0.7 Unit_Unit Metalaxyl-2 7.11 0.7 Unit_Unit Metalaxyl-3 7.11 0.7 Unit_Unit Methiocarb-1 7.72 0.7 Unit_Unit Methiocarb-2 7.72 0.7 Unit_Unit Methomyl-1 4.10 1 Unit_Unit Methomyl-2 4.10 1 Unit_Unit Mevinphos-1 5.33 2 Unit_Unit Mevinphos-2 5.33 2 Unit_Unit Mevinphos-3 5.33 2 Unit_Unit Mevinphos-4 5.33 2 Unit_Unit Myclobutanil-1 8.17 0.7 Unit_Unit Myclobutanil-2 8.17 0.7 Unit_Unit Myclcobutanil-D₉ 8.17 0.7 Unit_Unit Naled-1 7.05 0.7 Low_Unit Low_Unit Naled-2 7.05 0.7 Low_Unit Low_Unit Naled-3 7.05 0.7 Low_Unit Low_Unit N-Octyl bicycloheptene 10.4 1.2 Unit_Unit dicarboximide (MGK-264)-1 N-Octyl bicycloheptene 10.4 1.2 Unit_Unit dicarboximide (MGK-264)-2 Oxamyl-1 3.80 0.8 Unit_Unit Oxamyl-2 3.80 0.8 Unit_Unit Paclobutrazol-1 7.90 0.7 Unit_Unit Paclobutrazol-2 7.90 0.7 Unit_Unit Parathion methyl-1 7.49 0.7 Low_Unit Low_Unit Parathion methyl-2 7.49 0.7 Low_Unit Low_Unit Permethrin-1 12.79 1.5 Unit_Unit Permethrin-2 12.79 1.5 Unit_Unit Phosmet-1 7.29 0.7 Unit_Unit Phosmet-2 7.29 0.7 Unit_Unit Piperonyl butoxide-1 11.14 0.7 Unit_Unit Piperonyl butoxide-2 11.14 0.7 Unit_Unit Prallethrin-1 10.25 1.2 Unit_Unit Prallethrin-2 10.25 1.2 Unit_Unit Prallethrin-3 10.25 1.2 Unit_Unit Propiconazole-1 9.76 1 Unit_Unit Propiconazole-2 9.76 1 Unit_Unit Propiconazole-3 9.76 1 Unit_Unit Propiconazole-4 9.76 1 Unit_Unit Propoxur-1 5.94 0.7 Unit_Unit Propoxur-2 5.94 0.7 Unit_Unit Pyrethrin-I-2 11.88 0.7 Unit_Unit Pyrethrin-I-3 11.88 0.7 Unit_Unit Pyrethrin-II-2 10.49 0.7 Unit_Unit Pyrethrin-II-3 10.49 0.7 Unit_Unit Pyridaben-1 12.46 0.7 Unit_Unit Pyridaben-2 12.46 0.7 Unit_Unit Pyridaben-D₁₃ 12.46 0.7 Unit_Unit Spinetoram-1 10.19 0.7 Low_Low Low_Low Spinetoram-2 10.19 0.7 Low_Low Low_Low Spinosyn A-1 9.56 0.7 Low_Low Low_Low Spinosyn A-2 9.56 0.7 Low_Low Low_Low Spinosyn D-1 10.09 0.7 Low_Low Low_Low Spinosyn D-2 10.09 0.7 Low_Low Low_Low Spiromesifen-1 11.73 0.7 Unit_Unit Spiromesifen-2 11.73 0.7 Unit_Unit Spirotetramat-1 8.70 0.7 Unit_Unit Spirotetramat-2 8.70 0.7 Unit_Unit Spiroxamine-1 7.20 1.4 Unit_Unit Spiroxamine-2 7.20 1.4 Unit_Unit Tebuconazole-1 9.27 0.7 Unit_Unit Tebuconazole-2 9.27 0.7 Unit_Unit Thiachloprid-2 5.29 0.8 Unit_Unit Thiachloprid-3 5.29 0.8 Unit_Unit Thiamethoxam-1 4.20 0.8 Unit_Unit Thiamethoxam-2 4.20 0.8 Unit_Unit Thiamethoxam-D₄ 4.20 0.8 Unit_Unit Thiophanate methyl-1 5.74 0.6 Unit_Unit Thiophanate methyl-2 5.74 0.6 Unit_Unit Trifloxystrobin-1 10.12 0.7 Unit_Unit Trifloxystrobin-2 10.12 0.7 Unit_Unit

TABLE 2C Challenging pesticides and associated MRM transitions. MRM transitions emphasized in bold either provide high signal and > or reduced (e.g., less or no) matrix interference from cannabis matrix. MRM transition Pesticide 1 2 3 4 Acephate 184.0 > 145.0 184.0 > 49.0  184.0 > 95.0  Acequinocyl 402.2 > 343.1 402.2 > 189.0 343.1 > 189.0 343.1 > 115.0 Captan 316.9 > 263.9 318.9 > 265.9 Chlordane 439.8 > 35.0  441.8 > 35.0  Chlorfenapyr 406.9 > 59.0  408.9 > 59.0  426.0 > 59.0  424.0 > 59.0  426.0 > 409.0 Cinerin I 317.2 > 149.0 317.2 > 107.0 Cinerin II 361.2 > 149.0 361.2 > 213.0 Cyfluthrin 451.1 > 191.0 453.1 > 193.0 451.1 > 127.0 Cypermethrin 433.1 > 191.0 435.1 > 193.0 433.1 > 127.0 Daminozide 161.1 > 143.0 161.1 > 44.0  161.1 > 45.0  Dimethomorph 388.1 > 301.0 388.1 > 273.0 388.1 > 165.0 Etridiazole 216.8 > 35.0  218.8 > 35.0  Fenoxycarb 302.1 > 116.0 302.1 > 256.0 302.1 > 88.0  Imazalil 297.0 > 41.0  297.0 > 159.0 297.0 > 201.0 Jasmolin II 375.2 > 163.0 375.2 > 213.0 Malathion 331.0 > 127.0 331.0 > 285.0 331.0 > 99.0  Mevinphos 242.0 > 127.0 225.0 > 127.0 242.0 > 109.0 225.0 > 109.0 MGK-264 276.2 > 210.0 276.2 > 98.0  Naled 380.8 > 127.0 382.8 > 127.0 378.8 > 127.0 380.8 > 109.0 PCNB 275.8 > 35.0  273.8 > 35.0  275.8 > 201.8 273.8 > 199.8 Propiconazole 344.1 > 161.0 344.1 > 69.0  342.1 > 159.0 342.1 > 69.0  Pyrethrin I 329.2 > 163.0 329.2 > 143.0 329.2 > 133.0 Pyrethrin II 373.2 > 163.0 373.2 > 143.0 373.2 > 133.0

TABLE 2D Challenging pesticides and associated MRM transitions that provide high signal and > or reduced (e.g., less or no) interference from cannabis matrix. MRM transition Pesticide 1 2 3 4 Acephate 184.0 > 49.0  Acequinocyl 402.2 > 343.1 402.2 > 189.0 343.1 > 189.0 343.1 > 115.0 Captan 316.9 > 263.9 318.9 > 265.9 Chlordane 439.8 > 35.0  441.8 > 35.0  Chlorfenpyr 406.9 > 59.0  408.9 > 59.0   424 > 59.0  426 > 409.0 Cinerin I 317.2 > 107.0 Cinerin II 361.2 > 213.0 Cyfluthrin 453.1 > 193.0 Cypermethrin 435.1 > 193.0 Daminozide 161.1 > 44.0  161.1 > 45.0  Dimethomorph 388.1 > 273.0 Etridiazole 216.8 > 35.0  218.8 > 35.0  Fenoxycarb 302.1 > 256.0 Imazalil  297 > 41.0 Jasmolin II 375.2 > 213.0 Malathion 331.0 > 285.0 Mevinphos  242 > 127.0 225.0 > 127.0 MGK-264 276.2 > 98.0  Naled 382.8 > 127.0 PCNB 275.8 > 35.0  273.8 > 35.0  275.8 > 201.8 273.8 > 199.8 Propiconazole 344.1 > 161.0 344.1 > 69.0  Pyrethrin I 329.2 > 163.0 Pyrethrin II 373.2 > 163.0

TABLE 3 Recommended MRM transitions for APCI-MS Expected Mode Target Q1 Q2 R.T. ΔTime CE EV CCL2 Res − Chlordane-1 439.8 35.1 3.1 0.6 95 −15 100 Low_Low − Chlordane-2 441.8 35.1 3.1 0.6 99 −15 100 Low_Low − PCNB-1 275.8 35.1 3.1 0.6 85 −10 70 Low_Low − PCNB-2 273.8 35.1 3.1 0.6 82 −10 60 Low_Low − PCNB-3 275.8 201.8 3.1 0.6 36 −30 120 Low_Low − Chlorfenapyr-5 346.9 79.0 2.5 0.6 44 −33 70 Low_Low − Chlorfenapyr-6 348.9 81.0 2.5 0.6 44 −33 70 Low_Low − Etridiazole 216.8 35.0 2.3 0.7 88 −20 100 Low_Low − Etridiazole 218.8 35.0 2.3 0.7 88  −20- 100 Low_Low

TABLE 4 Recommended MRM transitions for Mycotoxins Mode Target Q1 Q2 R.T. ΔT CE EV CCL2 Res + Mycotoxin B1-1 313.1 285.0 5.900 1 −30 30 −90 Unit_Unit + Mycotoxin B1-2 313.1 269.0 5.900 1 −40 30 −116 Unit_Unit + Mycotoxin B1-3 313.1 241.0 5.900 1 −46 30 −132 Unit_Unit + Mycotoxin B2-1 315.1 287.0 5.800 1 −34 30 −116 Unit_Unit + Mycotoxin B2-2 315.1 243.0 5.800 1 −50 30 −129 Unit_Unit + Mycotoxin G1-1 329.1 243.0 5.500 1 −34 30 −108 Unit_Unit + Mycotoxin G1-2 329.1 214.0 5.500 1 −44 30 −128 Unit_Unit + Mycotoxin G1-3 329.1 200.0 5.500 1 −54 30 −150 Unit_Unit + Mycotoxin G2-1 331.1 245.0 5.400 1 −38 25 −125 Unit_Unit + Mycotoxin G2-2 331.1 189.0 5.400 1 −56 30 −150 Unit_Unit + Ochratoxin A-1 404.1 358.0 8.400 1 −18 30 −80 Unit_Unit + Ochratoxin A-2 404.1 239.0 8.400 1 −30 30 −88 Unit_Unit + Ochratoxin A-3 404.1 221.0 8.400 1 −50 30 −96 Unit_Unit

Use of the disclosed systems and methods to analyze pesticides in cannabis samples (typically plants containing relatively high levels of THC) is described in the Examples below. These examples demonstrate advantages of the systems and methods with respect to matrix effects and isobaric interference (e.g., see Example 6, acequinocyl) in cannabis extracts. However, the disclosed systems and methods can be applied to detect pesticides and mycotoxins in a variety of samples, including marijuana and hemp products such as flowers; concentrates (e.g., oils, tinctures, distillates); edibles such as candy (e.g., gummies, chocolates), cooking oil, baked goods, beverages, ice cream; topicals (e.g., gels, ointments, lotions), botanical samples such as other edible plants and plant products (e.g., herbs, vegetables, fruit, edible flowers, spices, olive oil); other medicinal plants and plant products; other plants and plant products which can be smoked (e.g., tobacco, mint, sage); environmental samples (e.g., water); and clinical samples (e.g., blood serum, urine). Any combination of pesticides disclosed above can be analyzed.

Pesticide Analysis in Cannabis

In embodiments of the disclosed methods, using a simple organic solvent extraction method with dilution, the recommended MRM transitions, and an LC gradient with a high efficiency ultra-high-performance liquid chromatography (UHPLC) column, the disclosed methods can be used to avoid matrix effects, permitting the detection of pesticides—including very hydrophobic and chlorinated pesticides typically detected using GCMS—in cannabis samples at low levels (e.g., 0.005 to 0.3 μg/g) well below the lowest action levels established by U.S. states such as California and Oregon and other countries such as Canada for cannabis products, including inhalable products. Mycotoxins can also be detected. For example, in cannabis samples comprising regulated pesticides and mycotoxins and extracted using a simple acetonitrile extraction method, the recovery of all pesticides and mycotoxins is in the acceptable range of 70-120% with a relative standard deviation (RSD) of less than 20%.

FIGS. 119A-F show sample MRM chromatograms with excellent signal-to-noise ratios for a representative set of pesticides spiked at the low level of 0.01 μg/g in cannabis flower extracts.

As demonstrated by the data provided in this disclosure, the LOQs are well below current California action limit by a factor of 2 to 600 for all category II pesticides and mycotoxins listed in California's current regulatory document. The response RSD for each pesticide and mycotoxin at its LOQ level in cannabis matrix was less than 20%. The retention time for each analyte was reproducible within ±0.1 minute over 24 hour period. This demonstrates that the method is more than adequately sensitive and reproducible for pesticides and mycotoxins analysis in cannabis at the regulatory limits specified by California.

Pesticides Typically Analyzed Using GC-MS with an EI Source

A number of pesticides (e.g., chlorfenapyr, cypermethrin, cyfluthrin, captan, naled, permethrin, and pyrethrins) have low proton affinity which results in low ionization efficiency with ESI source. These pesticides typically are analyzed using GC-MS with an electron-ionization (EI) source. Use of a heated electrospray source with coaxial heating gas, as in the QSight LC-MS/MS system, ionizes these pesticides with much higher ionization efficiency than a conventional ESI source with no heating gas. Using the recommended MRM transitions with a heated electrospray source, the LOQ for these pesticides were in range of 10-25 ppb, which, for example, is well below the action limits for cannabis in California and in other states.

For example, pyrethrins are a class of organic compounds derived from Chrysanthemum cinerariifolium that have potent insecticidal activity by targeting the nervous systems of insects. The naturally-occurring pyrethrins, extracted from chrysanthemum flowers, are esters of chrysanthemic acid (pyrethrin I, cinerin I, and jasmolin I) and esters of pyrethric acid (pyrethrin II, cinerin II, and jasmolin II); their structures are shown below.

In the United States, pyrethrum extract is standardized as 45-55% w/w total pyrethrins and in a commercially available pyrethrin standard, the percentage of pyrethrin I, pyrethrin II, cinerin I, cinerin II, jasmolin I and jasmolin II is about 56.1, 27.8, 5.7, 3.8, 4 and 2.6%, respectively. A number of compounds in cannabis mimic the structure of pyrethrins and therefore the analysis of pyrethrins in cannabis is very difficult due to matrix interference. The LOQs, with LC-MS/MS method which utilizes recommended MRM transitions and LC gradient, for pyrethrin I, pyrethrin II, cinerin I, cinerin II, jasmolin I and jasmolin II were 0.1, 0.1, 0.01, 0.03, 0.025 and 0.01 μg/g, respectively in cannabis flower.

Calibration

In conventional approaches, matrix matched calibration is performed for more accurate quantitation of pesticides and other analytes in different matrices, such as food matrices. In certain embodiments, use of solvent based analytical standards at different concentrations is more practical and convenient. In particular, quantitation of pesticides in different food matrices is challenging since it can be difficult and/or expensive to obtain a standard food matrix which is free of pesticides and other analytes.

In certain embodiments, since some of pesticides may experience ion suppression due to matrix effects, a mixture of isotopically labelled internal standards can be added to both solvent based calibration standards and samples (see Example 1). This approach can reduce the error in quantitation of pesticides and other analytes in matrices due to ion suppression.

Another approach for reducing ion suppression from matrix effects is to dilute the sample extracts further with methanol or acetonitrile (e.g., by a factor of 1.5 to 50). This approach can reduce ion suppression but may also reduce the sensitivity by increasing the limits of quantitation of pesticides in different food matrices. In certain embodiments, an acetonitrile extract is diluted further with methanol by 50% to get better peak shapes for earlier eluting compounds when LC uses methanol as strong solvent mobile phase. See FIG. 125.

Liquid Chromatography

Conventional LC-MS/MS approaches with APCI and/or ESI sources use LC mobile phases with additives such as formic acid, ammonium formate, and other additives to assist in ionization of analytes in samples. However, to assist ionization of analytes such as chlordane, quintozene, chlorfenapyr, etridiazole, endosulfan I, endosulfan II, etridiazole, chlorfenapyr, etridiazole, and other pesticides that are either very hydrophobic or chlorinated with an APCI source, LC mobile phases without additives provide better performance. ESI ionization, however, typically requires either acidic additives, such as formic acid and acetic acid, and/or neutral additives, such as ammonium formate and ammonium acetate.

In certain embodiments, two sequential LC-MS/MS methods may be used, wherein a first LC separation method is used to produce a first separation stream that is ionized with an ESI source, and a second LC separation method is used to produce a second separation stream that ionized with an APCI source. In this manner, the first LC separation method may employ mobile phases that use acidic and/or neutral additives to assist with ESI ionization, while the second LC method may employ mobile phases without any such additives (e.g., without any acidic and/or neutral additives; without any additives).

In certain embodiments, a single LC-MS/MS method is used that allows for simultaneous ionization and measurement of sample from single injection using ESI and APCI ionization (e.g., in both positive and negative ion mode). In this approach, a single LC method is used and LC column eluent from sample can be split into a first separation stream that is ionized by the ESI source and a second separation stream that is ionized using the APCI source. For example, LC column eluent may be diverted, using a T fitting, to both ESI and APCI ion sources present in a LC-MS/MS system (e.g., such as PerkinElmer's QSight system) for analysis. The LC-MS/MS system can be operated in both ESI and APCI mode with negligible cross talk or interference between ionization modes and polarities.

As described above, use of LC methods that employ mobile phases without acidic and/or neutral additives (e.g., without any additives) allows for analysis of analytes using an APCI source. In particular, for analysis of various chlorinated pesticides using an APCI source, it has been observed that signal is highest when no additives are used and that signal decreases by factor of 2 to 5 with addition of neutral additives such as ammonium acetate and ammonium formate. The signal for chlorinated pesticides ionized with an APCI source goes down by a factor of 20-50 with addition of acidic additives such as formic and acetic acid. Accordingly, since ESI requires presence of some ionic additives to aid in ionization and analysis of analytes, in certain embodiments, a single LC method that employs mobile phases with neutral additives, such as ammonium acetate or ammonium formate may be used. The approach provides a compromise that allows both ESI and APCI sources to be used with a single LC method. By allowing analysis to proceed with only a single LC injection, this approach provides for increased throughput.

Examples of Embodiments

FIG. 1 shows an example process 100 for detecting and/or quantifying a panel of pesticides (e.g., 72 pesticides) in a sample (e.g., comprising cannabis plant material) according to the approaches described herein. In process 100, the sample 102 is processed by one or more LC methods 104 to produce a first and a second separation stream. The first separation stream is ionized using an ESI source 106 a to produce a first ionized sample stream. Tandem mass spectrometry (e.g., triple quadrupole mass spectrometry) is used to detect and/or quantify a first subset of pesticides of the panel in the first ionized sample stream by detecting intensities of MRM transitions associated with each pesticide of the first subset 108 a. The second separation stream is ionized using an APCI source 106 b to produce a second ionized sample stream. Tandem mass spectrometry is used to detect and/or quantify a second subset of pesticides of the panel in the second ionized sample stream by detecting intensities of MRM transitions associated with each pesticide of the second subset 108 b. Each pesticide can be detected (e.g., identified as present in the sample) and/or quantified based on the detected intensities of one or more MRM transitions associated with the pesticide. By applying two parallel LC-MS/MS techniques in this manner, detection and/or quantification results for the full panel 110 are obtained.

FIG. 2 shows an example process 200 for detecting and/or quantifying one or more pesticides in a sample using LC-MS/MS with an APCI source. In process 200, the sample 202 is processed via an LC method 204 to produce a separation stream. The separation stream is ionized using and APCI source and air as a nebulizing gas 206. Tandem mass spectrometry (e.g., triple quadrupole mass spectrometry) is used to detect intensities of one or more MRM transitions associated with the pesticides 208. Intensities of the one or more MRM transitions associated can be used to detect (e.g., identify as present in the sample) and/or quantify the pesticides 210.

FIG. 3 shows an example LC-MS/MS system 300 used in certain embodiments to perform the LC-MS/MS techniques described herein. The LC-MS/MS 300 comprises a LC stage 302, ionization sources (e.g., an ESI source and/or an APCI source) 304, and two mass filters 306 and 310 in series with a collision cell 308 in between. In certain embodiments, the two mass filters (Q1 and Q2) are quadrupoles. In certain embodiments, the collision cell is a quadrupole (q) (e.g., an RF quadrupole). In certain embodiments, the LC-MS/MS 300 is a triple quadrupole system. The LC-MS/MS 300 includes a detector 312 for detecting ions.

In one aspect, a method for detecting and/or quantifying a plurality of pesticides of a pesticide panel in a sample via liquid-chromatography tandem mass spectrometry (LC-MS/MS) comprises (a) processing the sample using one or more liquid chromatography (LC) method(s) to produce a first separation stream and a second separation stream; (b) ionizing the first separation stream using an electrospray ionization (ESI) source to produce a first ionized sample stream; (c) ionizing the second separation stream using an atmospheric chemical ionization (APCI) source to produce a second ionized sample stream; and (d) detecting, via tandem mass spectrometry (e.g., using a triple quadrupole system): (i) for each pesticide of a first subset of the panel, an intensity of one or more multiple reaction monitoring (MRM) transitions associated with the pesticide using the first ionized sample stream; and (ii) for each pesticide of a second subset of the panel, an intensity of one or more multiple reaction monitoring (MRM) transitions associated with the pesticide using the second ionized sample stream, thereby detecting and/or quantifying the plurality of pesticides of the pesticide panel.

In certain embodiments, the sample comprises cannabis plant material (e.g., wherein the cannabis plant material is diluted, for example, by a factor of 10 or more). In certain embodiments, the sample comprises edible material (e.g., food). In certain embodiments, the sample comprises plant material.

In certain embodiments, the sample comprises an extract and the method comprises producing the sample extract using an extraction procedure comprising combining a base sample with one or more solvents and, following dilution of the base sample, filtering the diluted base sample.

In certain embodiments, the one or more solvents comprise methanol. In certain embodiments, the one or more solvents comprise acetonitrile (e.g., acetonitrile and/or acetonitrile with formic acid). In certain embodiments, the extraction procedure further comprises a dispersive solid phase extraction procedure applied following dilution of the base sample with the one or more solvents (e.g., using PSA (primary and secondary amine) sorbents, C18, alumina graphitized carbon, and the like; e.g., to reduce ion suppression and matrix interference).

In certain embodiments, the method comprises, for each pesticide of at least a portion of the plurality of pesticides, quantifying a level (e.g., micrograms per gram) of the pesticide in the sample based the detected intensities of the one or more MRM transitions associated with the pesticide (for example, wherein the sample comprises cannabis plant material and/or wherein an LOQ for the level of the pesticide is below a California and/or Oregon action level by, for example, a factor of 2, 10, 20, or 50).

In certain embodiments, for at least one of the plurality of pesticides, quantifying the level of the pesticide in the sample comprises using a solvent based analytical calibration standard (e.g., an isotopically labeled internal standard). In certain embodiments, the method comprises spiking the calibration standard and/or the sample with an internal standard mixture (see Table 10).

In certain embodiments, the panel comprises 72 pesticides. In some embodiments, for example when the sample is a cannabis sample, a first subset comprises 70 pesticides and a second subset comprises 3 pesticides such as chlordane, chlorfenapyr, and quintozene (PCNB).

In certain embodiments, a first subset of the panel comprises one or more high molecular weight and/or thermally unstable pesticides (e.g., abamectin).

In certain embodiments, a first subset of the panel comprises one or more category 2 pesticides selected from the group consisting of: abamectin, acephate, acequinocyl, acetamiprid, azoxystrobin, bifenazate, bifenthrin, boscalid, captan, carbaryl, chlorantraniliprole, cinerin I, cinerin II, clofentezine, cyfluthrin, cypermethrin, diazinon, dimethomorph, etoxazole, fenhexamid, fenpyroximate, flonicamid, fludioxonil, hexythiazox, imidacloprid, jasmolin I, jasmolin II, kresoxim-methyl, malathion, metalaxyl, methomyl, myclobutanil, naled, oxamyl, permethrin, phosmet, piperonyl butoxide, prallethrin, propiconazole, pyrethrin I, pyrethrin II, pyridaben, spinetoram, spinosad, spiromesifen, spirotetramat, tebuconazole, thiamethoxam, and trifloxystrobin.

In certain embodiments, a first subset of the panel comprises one or more category 1 pesticides selected from the group consisting of: aldicarb, carbofuran, chlorfenapyr, chlorpyrifos, coumaphos, daminozide, DDVP (dichlorvos), dimethoate, Ethoprop(hos), etofenprox, fenoxycarb, fipronil, imazalil, methiocarb, methyl parathion, mevinphos, paclobutrazol, propoxur, spiroxamine, thiacloprid, MGK-264.

In certain embodiments, a second subset of the panel comprises one or more hydrophobic and/or chlorinated pesticides.

In certain embodiments, a second subset of the panel comprises one or more pesticides selected from the group consisting of pentachloronitrobenzene, chlordane, chlorfenapyr endosulfan I, endosulfan II, and etridiazole.

In certain embodiments, a second subset of the panel comprises chlordane, chlorfenapyr and/or quintozene (PCNB).

In certain embodiments, step (c) comprises using air and/or other gases, such as nitrogen, argon, and carbon dioxide, as a nebulizing gas (e.g., to generate negatively charged oxygen ions that act as reagent ions and assist in ionization of chlordane and/or quintozene).

In certain embodiments, step (a) comprises processing the sample using a single LC method (e.g., and splitting the eluent of the single LC method into the first separation stream and the second separation stream). In certain embodiments, the single LC method employs mobile phases with neutral additives such as ammonium acetate, ammonium formate, ammonium hydroxide, and ammonium carbonate. In certain embodiments, the single LC method employs mobile phases without acidic additives (e.g., without formic acid and/or without acetic acid). In certain embodiments, the single LC comprises a fast LC method with a fast gradient (e.g., 10-20%/minute or greater organic change) and a slow gradient [e.g., 1-10%/minute (e.g., 5-6%) organic change] to minimize overlap between pesticide signal peaks and matrix interference peaks.

In certain embodiments, step (a) comprises processing the sample using a first LC method to produce the first separation stream and using a second LC method to produce the second separation stream. In some embodiments, the second LC method employs mobile phases with neutral additives such as ammonium acetate, ammonium formate, ammonium hydroxide, and ammonium carbonate. In some embodiments, the second LC method employs mobile phases without acidic additives (e.g., without formic acid and/or without acetic acid). In some embodiments, the second LC method uses mobile phases without any neutral and/or acidic additives. In certain embodiments, the first LC method and/or the second LC method comprises a fast LC method with a fast gradient (e.g., 10-20%/minute or greater organic change) and a slow gradient [e.g., 1-10%/minute (e.g., 5-6%) organic change] to minimize overlap between pesticide signal peaks and matrix interference peaks.

In certain embodiments, for each pesticide of the first subset and/or for each pesticide of the second subset, at least a portion of the one or more MRM transitions associated with the pesticide are substantially distinct from matrix interferences. In some embodiments, the sample comprises cannabis plant material and the matrix interferences are cannabis matrix interferences, such as interferences associated with cannabinoids, terpenes, and/or other non-cannabinoid compounds.

In certain embodiments, for each of at least a portion of the plurality of pesticides of the panel, the one or more associated MRM transitions comprises one or more of the MRM transitions of Table 2A.

In certain embodiments, for each of at least a portion of the plurality of pesticides of the panel, the one or more associated MRM transitions comprises one or more of the MRM transitions of Table 2C.

In certain embodiments, for each of at least a portion of the plurality of pesticides of the panel, the one or more associated MRM transitions comprises one or more of the MRM transitions of Table 2D.

In certain embodiments, for each of at least a portion of the plurality of pesticides of the panel, the one or more associated MRM transitions comprises one or more of the MRM transitions of Table 3.

In some embodiments, a method for detecting and/or quantifying one or more pesticides (e.g., very hydrophobic and/or chlorinated pesticides) levels in a sample using LC-MS/MS comprises: (a) processing the sample using a liquid chromatography (LC) method to produce a separation stream; (b) ionizing the separation stream using APCI source using air and/or other gases, such as nitrogen, argon, and carbon dioxide, as a nebulizing gas as a nebulizing gas to produce an ionized sample stream; and (d) detecting, via tandem mass spectrometry (e.g., using a triple quadrupole system), for each pesticide of the one or more pesticides, an intensity of one or more multiple reaction monitoring (MRM) transitions using the ionized sample stream, each MRM transition associated with the pesticide, thereby detecting and/or quantifying the one or more pesticides.

In certain embodiments, the sample comprises cannabis plant material (e.g., wherein the cannabis plant material is diluted, e.g., by a factor of 10 or more). In certain embodiments, the sample comprises edible material (e.g., food). In certain embodiments, the sample comprises plant material.

In certain embodiments, the sample is an extract and the method comprises producing the sample extract using an extraction procedure comprising combining (e.g., diluting) a base sample with one or more solvents [e.g., and, following dilution of the base sample, filtering the diluted base sample]. In certain embodiments, the one or more solvents comprise methanol. In certain embodiments, the one or more solvents comprise acetonitrile (e.g., acetonitrile and/or acetonitrile with formic acid). In certain embodiments, when LC uses methanol as strong solvent mobile phase, the acetonitrile extract is further diluted with methanol by 50% or more to obtain better peak shapes for earlier eluting compounds. In certain embodiments, the extraction procedure further comprises a dispersive solid phase extraction procedure applied following dilution of the base sample with the one or more solvents (e.g., using PSA (primary and secondary amine) sorbents, C18, alumina graphitized carbon, and the like; e.g., to reduce ion suppression and matrix interference).

In certain embodiments, the method comprises, for each pesticide of the one or more pesticides, quantifying a level (e.g., micrograms per gram) of the pesticide in the sample based the detected intensities of the one or more MRM transitions associated with the pesticide [e.g., wherein the sample comprises cannabis plant material and/or wherein a limit of quantitation (LOQ) for the level of the pesticide is below (e.g., a factor of 2, 10, 20, or 50 smaller than) a California action level and/or an Oregon action level for the pesticide].

In certain embodiments, for at least one of the pesticides, quantifying the level of the pesticides in the sample comprises using a solvent based analytical calibration standard (e.g., an isotopically labeled internal standard). In certain embodiments, the method comprises spiking the calibration standard and/or the sample with the internal standard mixture of Table 6.

In certain embodiments, the one or more pesticides comprise one or more hydrophobic and/or chlorinated pesticides. In certain embodiments, the one or more pesticides comprise one or more pesticides selected from the group consisting of pentachloronitrobenzene, chlordane, chlorfenapyr, endosulfan I, endosulfan II, and etridiazole. In certain embodiments, the one or more pesticides comprises chlordane and/or quintozene (also referred to as pentachloronitrobenzene).

In certain embodiments, the LC method employs mobile phases with neutral additives such as ammonium acetate, ammonium formate, ammonium hydroxide, and ammonium carbonate. In certain embodiments, the LC method employs mobile phases without acidic additives (for example, without formic acid and/or without acetic acid). In certain embodiments, the LC method employs mobile phases without any neutral and/or acidic additives (e.g., without any additives).

In certain embodiments, for each pesticide of at least a portion of the one or more pesticides, the one or more MRM transitions associated with the pesticide are substantially distinct from matrix interferences, such as wherein the sample comprises cannabis plant material and the matrix interferences are cannabis matrix interferences associated with cannabinoids, terpenes, and/or other non-cannabinoid compounds.

In certain embodiments, the one or more pesticides comprises chlordane, and step (d) comprises detecting an intensity of one or more MRM transitions associated with chlordane, wherein the one or more MRM transitions associated with chlordane comprise one or more members selected from the group consisting of a 439.8>35 transition, and a 441.8>35 transition.

In certain embodiments, the one or more pesticides comprises quintozene, and step (d) comprises detecting an intensity of one or more MRM transitions associated with quintozene, wherein the one or more MRM transitions associated with quintozene comprise one or more members selected from the group consisting of a 275.8>35 transition, a 273.8>35 transition, a 275.8>201.8 transition, and a 273.8>199.8 transition.

In certain embodiments, the one or more pesticides comprises chlorfenapyr, and step (d) comprises detecting an intensity of one or more MRM transitions associated with chlorfenapyr, wherein the one or more MRM transitions associated with chlorfenapyr comprises one or more members selected from the group consisting of a 346.9>79 transition and a 348.9>81 transition.

In certain embodiments, the one or more pesticides comprises etridiazole, and step (d) comprises detecting an intensity of one or more MRM transitions associated with etridiazole, wherein the one or more MRM transitions associated with etridiazole comprises one or more members selected from the group consisting of a 216.8>35 transition and a 218.8>35 transition.

In certain embodiments, the LC method is a fast LC method with fast gradient (e.g., 10-20%/minute or greater organic change) and slow gradient [e.g., 1-10%/minute (e.g., 5-6%) organic change] to minimize overlap between pesticides peak and matrix interference peaks.

In another aspect, this disclosure provides a system comprising a liquid chromatography tandem mass spectrometer (e.g., a triple quadrupole mass LC mass spectrometer) for performing any one of the methods described herein.

Those skilled in the art will appreciate that there are numerous variations and permutations of the above described embodiments that fall within the scope of the appended claims.

EXAMPLE 1

Hardware and Software. In examples below, chromatographic separation was conducted on a PERKINELMER® LC-MS/MSC) LX50 UHPLC system, and detection was achieved using a PerkinElmer QSIGHT® 220 MS/MS detector with a dual ionization ESI and APCI source, which operate independently with two separate inlets. All instrument control, data acquisition and data processing was performed using the Simplicity 3Q™ software platform.

Preparation of cannabis samples. Approximately 5 grams of cannabis flower were finely ground, and 1 g of the ground mixture was placed into a 50 mL centrifuge tube and comprising 10 μL of the internal standard solution shown in Table 6. Three 10 mm steel balls were added to the tube together with 5 mL of LC-MS grade acetonitrile. The tube was capped, placed on a multi-tube vortex mixture, and vortexed for 10 minutes, then centrifuged for 10 minutes at 3000 rpm. The solvent was filtered into a 5 mL glass amber vial using a 0.22 micron nylon syringe-filter, and the vial was capped and labeled.

LC-MS/MS analysis. 0.5 mL of the extracted sample was placed into a 2 mL HPLC vial, diluted with 0.5 mL of LC-MS grade acetonitrile, and mixed. Three μL of this sample was injected for LC-MS/MS analysis, using the LC method and MS source conditions shown in Table 5.

TABLE 5 LC Method and MS Source Conditions LC Conditions LC column PerkinElmer Quasar Pesticide column (100 mm × 4.6 mm, 2.7 μM) Mobile-phase A (ESI method) 2 mM ammonium formate + 0.1% formic acid (in water) Mobile-phase B (ESI method) 2 mM ammonium formate + 0.1% formic acid (in methanol) Mobile-phase gradient A 18.5 and 6 minute LC method with gradient for LC-MS/MS method with ESI and APCI source, respectively Column oven temperature 30 C. Auto sampler temperature 10 C. Injection volume 3.0 μL for LC-MS/MS method with ESI source. 10 μL for LC-MS/MS method with APCI source. MS Source Conditions for ESI Source and APCI Source ESI voltage (positive) +5500 V ESI voltage (negative) −4200 V APCI Corona Discharge −5 μA Drying gas 120 arbitrary units Nebulizer gas 350 arbitrary units Source temperature 315° C. HSID temperature 200° C. Detection mode Time-managed MRM

Sample matrix-matched calibration standards. Matrix matched calibration is the gold standard for quantitation because it compensates for matrix effects. Matrix effects are common for LCMS based analysis in complex matrices such as cannabis. The decrease or increase in response is attributed to ion suppression of the analytes during ionization by the presence of co-eluted matrix compounds. Due to sample matrix effects, a matrix matched calibration curve was used for quantitation and generated by injecting blank cannabis flower extracts and blank cannabis flower extract samples comprising varying concentrations of pesticides and mycotoxins over range of 0.1-1000 ng/mL at least seven or more different concentration levels.

TABLE 6 Composition of an example internal standard mixture Internal Standard Concentration/ppb Retention Time D₄ daminozide 2000 1.63 D₄ Imidacloprid 800 4.59 Naled-D₆ 2000 7.02 phosmet-D₆ 400 7.26 methylparathion D₆ 4000 7.48 D₄ boscalid 600 7.8 malathion D₆ 600 7.97 D₉ Myclobutanil 400 8.13 spirotetramat-D₅ 400 8.7 Diazinon-¹³C₄ 400 9.55 Propiconazole-D₇ 1000 9.78 trifloxystrobin- D₆ 200 10.2 piperonylbutoxide-D₉ 400 11.236 Chlorpyrifos (diethyl-D₁₀) 800 11.3 cyfluthrin-phenoxy D₅ 4000 11.7 cypermethrin-phenoxy-D₅ 4000 11.9 permethrin-D₅ 2000 12.886 Aceequinocyl-D₂₅ 2000 14.1

FIGS. 121A-D show representative examples of calibration curve for pesticides in cannabis extract over four orders of magnitude. The calibration curves for all pesticides and mycotoxins were linear with calibration fit of R² greater than 0.99 for all analytes tested.

EXAMPLE 2 Liquid Chromatography Methods

FIG. 27A is a graph showing a total ion chromatogram (TIC) obtained over 14 minutes for a (blank) sample comprising cannabis plant material using a generic (fixed gradient rate) liquid chromatography gradient. FIG. 27B is a graph showing a TIC of a sample comprising cannabis plant material comprising 100 ppb of pesticides. FIG. 27C is a graph showing a TIC obtained using the example LC method described in Example 1, above. FIG. 27D are Van Deemter curves for various LC columns.

Column inner diameter. The inner diameter (ID) of a column can be adjusted to improve response and ability to accurately detect and/or quantify various pesticides in botanical samples. FIG. 29A and FIG. 29B plot intensities of a MRM transition for pesticide sample comprising spiroxamine (and cannabis plant material) measured for a 2.1 mm ID column and a 4.6 mm ID column, respectively. The data show that a smaller ID column can distort peak shape, believed to be due to overloading of the smaller ID column with cannabis matrix components.

Flow rate. Flow rate is an LC parameter that can influence performance of an LC method and the signal obtained in a mass spectrometry measurement used to detect and/or quantify a particular pesticide. FIG. 27E and FIG. 27F are graphs that plot intensities of a 404.1>372.1 MRM transition measured for a sample comprising azoxystrobin. FIG. 27E shows intensity of the MRM transition when a 0.5 mL>min flow rate was used. The peak width and signal amplitudes obtained were 0.19 min and 1.47×10⁶, respectively. FIG. 27F shows intensity of the MRM transition when a flow rate of 0.8 mL>min was used. The peak width and signal amplitude obtained were 0.12 min and 2.41×10⁶, respectively. The peak width for the 0.5 mL>min flow rate LC method was 1.58 times larger than the peak width obtained with the 0.8 mL>min flow rate LC method, while the signal amplitude obtained with the 0.8 mL>min method was a factor of 1.64 larger than that of the 0.5 mL>min method. Accordingly with an improved flow rate of 0.8 mL>min a narrower and larger amplitude peak was obtained. Effects of flow rate on signals for various other pesticides were examined, and it was determined that for the 4.6 mm ID column used in this example, detection limits could be improved by about 50% for all analytes.

Eluting solvent. FIGS. 30A-C show data directed to effect of organic eluting solvent used in a LC method on response for various pesticides. FIG. 30A and FIG. 30B plot intensities of a MRM transition measured for a cannabis extract comprising acequinocyl, following separation by LC methods in which two different organic solvent compositions were used. FIG. 30A shows the intensity of the MRM transition obtained when the organic eluting solvent was 100% methanol solvent, and FIG. 30B shows an intensity of the MRM transition obtained when the organic eluting solvent was 75% methanol and 25% acetonitrile. FIG. 30C shows the effect of various percentages of methanol in the organic elution solvent on the responses observed for acequinocyl and abamectin.

EXAMPLE 3

Detection and quantification of pesticides in cannabis samples was demonstrated using embodiments of the disclosed methods. The results are shown in the figures identified in Table 7. Detection and quantification of additional pesticides is described in Examples 4-17.

TABLE 7 Figures Showing Detection and Quantification of Pesticides in Cannabis Samples Pesticide FIG. Acetamiprid 50A-D Aldicarb 11A-D, 54A-D Azoxystrobin 65A-D Bifenazate 74A-D Bifenthrin 112A-D Boscalid 68A-D Captan 13A-B, 67A-B Carbaryl 58A-D Carbofuran 57A-D Chlorantraniliprole 62A-D Chlorpyrifos 102A-D Clofentezine 86A-D Coumaphos 84A-D Diazinon 82A-D Dichlorvos 56A-D Dimethoate 48A-D Ethoprophos 78A-D Etofenprox 110A-D Etoxazole 105A-D Fenhexamid 25A-B, 75A-B Fenoxycarb 23A-F, 79A-B Fenpyroximate 107A-D Fipronil 76A-D Flonicamid 43A-D Fludioxonil 69A-D Hexythiazox 104A-D Imazalil 19A-B, 52A-B Imidacloprid 47A-D Jasmolin I 99A-D Jasmolin II 97A-D Kresoxim-methyl 80A-D Malathion 28A-B, 71A-B Metalaxyl 61A-D Methiocarb 66A-D Methomyl 12A-B, 45A-B Mevinphos 49A-D Myclobutanil 73A-D Oxamyl 42A-D Palcobutrazol 70A-D Parathion methyl (also referred to as methyl 64A-D parathion or methylparathion) Permethrin 95A-D Phosmet 63A-D Piperonylbutoxide 103A-D Prallethrin 88A-D Propoxur 55A-D Pyrethrin I 101A-D Pyrethrin II 98A-D Pyridaben 108A-D Spinetoram 26A-B, 92A-B Spinosyn A 83A-D Spinosyn D 89A-D Spiromesifen 106A-D Spirotetramat 77A-D Spiroxamine 59A-D Tebuconazole 81A-D Thiachloprid 51A-D Thiamethoxam 46A-D Thiophanate methyl 53A-D Trifloxystrobin 91A-D

Because the pesticides detected include both polar and non-polar compounds, 100% acetonitrile was used to extract all the analytes from sample extracts. Cannabis matrix is quite hydrophobic, and further dilution of cannabis extract with aqueous mobile phase to make it compatible with reverse phase LC resulted in lower recoveries of some of pesticides due to precipitation. Therefore, cannabis extracts are diluted with acetonitrile by overall factor of 10 to achieve high recovery of pesticides and reduce matrix effects. However, the reverse phase LC method uses aqueous mobile phase at the beginning of LC run to help better retain the polar compounds on the column. Injecting an organic solvent such as an acetonitrile sample extract on the LC leads to poor chromatographic peaks for early eluting polar compounds. To overcome this problem, a small sample injection volume of 3 microliter was used in the experiments reported in this example.

The experiments described in this example evaluated the performance of various MRM transitions for use in detection and/or quantification of different pesticides in samples comprising cannabis plant material. For a specific MRM transition associated with a particular pesticide, performance was evaluated by measuring intensity variations of the specific MRM transition (as a function of elution time) for two different samples: (i) a pesticide sample that comprises cannabis plant material and the particular pesticide (spiked at a particular concentration) and (ii) a blank cannabis sample that comprises cannabis plant material, but not the particular pesticide. By comparing amplitudes of one or more peaks observed in measurements for the pesticide sample with amplitude fluctuations in the blank cannabis sample, a signal-to-noise ratio (S/N) was calculated for each of the one or more peaks.

For various MRM transitions, limits of quantification (LOQ) were also calculated and compared with state regulatory agency-specified action limits for the particular pesticide with which they are associated. The LOQs are well below the California action limit by a factor of 2 to 600 for all category II pesticides and mycotoxins listed. The response relative standard deviation (RSD) for each pesticide and mycotoxin at its LOQ level in the cannabis matrix was less than 20%. The retention time for each analyte was reproducible within ±0.1 min over a 24-h period. This demonstrates that the method is more than adequately sensitive and reproducible for pesticides and mycotoxins analysis in cannabis at the regulatory limit specified by the state of California.

As explained above, cannabis is a challenging matrix to test, and this is compounded by the low concentration level of the pesticides. To ensure the highest analytical confidence, multiple MRM transitions for a number of pesticides with minimal matrix interference in the cannabis matrix were determined for low-level detection. For example, acequinocyl can be ionized easily as a protonated molecular ion in a standard, but the MRM transitions based on the protonated molecular ion in the cannabis matrix showed a poor LOQ of 0.5-1 μg/g, about 5-10 times higher than its California action limit. Therefore, MRM transitions based on alternative modes of ionization, such as adduct formation, were determined to reduce matrix interference and achieve, for example, an LOQ of 0.025 μg/g (four times below action limits) for acequinocyl in cannabis matrix.

EXAMPLE 4 Abamectin

High molecular weight compounds such as abamectin and some early eluting polar compounds such as daminozide and others are difficult to measure at low levels using GCMS because they decompose at high temperature in the GC injector or in the GC oven. Although these compounds can be ionized with ESI source, they also are prone to decomposition at high temperature in ESI source (see, for example, FIGS. 6A, 6B). Suitable temperatures for the ESI source and HSID temperature were therefore determined to maximize signal for high molecular weight and polar pesticides.

Abamectin is also prone to sodium and potassium adduct formation from sodium and potassium ions leached into the mobile phase from glassware. Because the amount of leached ions is difficult to control, use of a sodium adduct for abamectin as the Q1 mass for analysis would lead to unacceptable response variation. Therefore, to reduce sodium or potassium adduct formation, a controlled amount of ammonium salt (acetate or formate) was added in the mobile phase to form an ammonium adduct of abamectin. Use of ammonium salt in the mobile phase and the correct temperature conditions results in a good and reproducible signal for abamectin.

FIG. 10A is a precursor (parent) ion mass scan for abamectin in Q1 scan mode. FIGS. 10B-E and FIGS. 109A-D are chromatograms that compare intensities of two different MRM transitions associated with abamectin for cannabis samples comprising 100 ppb abamectin (FIGS. 10B, 10D; FIGS. 109A, 109B) and blank cannabis samples (FIGS. 10C, 10E; FIGS. 109C, 109D). Both MRM transitions use a precursor (parent) mass corresponding to an ammonium adduct instead of a sodium adduct.

Using an MRM transition of 890.5>567.2 (FIGS. 10B, 10D; FIGS. 109B, 109D) results in a signal-to-noise (S/N) ratio of 41. Using an MRM transition of 890.5>305.1 (FIGS. 10C, 10E; FIGS. 109A, 109C) results in an S/N ratio of 67. The LOQ for abamectin using these MRM transitions was improved approximately ten-fold, to approximately 30 ppb.

EXAMPLE 5 Acephate

FIGS. 18A-B and FIGS. 44A-B are chromatograms that compare intensities of two different MRM transitions associated with acephate for cannabis samples comprising 100 ppb acephate and for blank cannabis samples. Use of an MRM transition of 184>143 MRM (FIGS. 18A, 18B) provides an S/N ratio of 500. Use of an MRM transition of 184>49 (FIGS. 44A, 44B) provides an S/N ratio of 90. These MRM transitions can improve the LOQ for acetate to 10 ppb.

EXAMPLE 6 Acequinocyl

Acequinocyl can be ionized easily as a protonated molecular ion in solvent standard, but because of matrix interference the MRM transitions based on the protonated molecular ion in cannabis matrix result in a poor LOQ of 0.5 to 1 μg/g, which is about 5 to 10 times higher than California's action limit for acequinocyl. As described below, MRM transitions based on alternative modes of ionization such as adduct formation reduce matrix interference and achieve The LOQ was approximately 25 ppb.

FIGS. 7A-D are four graphs that compare intensities of two different MRM transitions associated with acequinocyl for cannabis samples comprising 100 ppb acequinocyl and blank cannabis samples. FIGS. 7B and 7D plot intensities of a 385.2>343.1 MRM transition for an acequninocyl and a blank cannabis sample, respectively. While a large amplitude intensity peak is observed in the graph of FIG. 7B, a similar peak also appears, at the same time, in the blank cannabis sample data shown in FIG. 7D. The data show that this MRM transition is dominated by cannabis matrix interference, and is undesirable for use in detection and/or quantification of acequinocyl in the presence of cannabis matrix components.

FIG. 7A and FIG. 7B compare intensities of another MRM transition, 385.2>189.1, for an acequninocyl and a blank cannabis sample. Based on the data shown in FIGS. 7A and 7B, an S/N ratio of 24 was determined for the 385.2>189.1 MRM transition. These two transitions were determined to provide a LOQ ranging from 0.5 to 1 ppm.

FIG. 8 is a graph showing a mass scan of acequinocyl showing different precursor (parent) ion masses. As shown in the data presented in FIGS. 9 and 111, MRM transitions corresponding to a 402.2 precursor (parent) ion provide higher S/N ratios for detection and/or quantification of acequinocyl. An MRM transition of 402.2>189 (FIGS. 9A, 9C; FIGS. 111A, 111C) provides an S/N ratio of 60. An MRM transition of 402.2>343.1 (FIGS. 9B, 9D; FIGS.1 111B, 111D) provides an S/N of 205 and an improvement in LOQ to e.g., 25 or 42 ppb.

EXAMPLE 7 Chlorfenapyr

The structure of chlorfenapyr is shown below:

ESI Ionization Source

FIG. 14A is a graph showing a mass scan of chlorfenapyr showing different precursor (parent) ion masses. Peaks at mass values of 406.9 and 423.9 correspond to a protonated molecule ([M+H]⁺) and an ammonium adduct ([M+NH₄]⁺), respectively.

FIGS. 14B-E plot intensities of MRM transitions for which the precursor (parent) mass corresponds to the ammonium ([M+NH₄]⁺) adduct of chlorfenapyr. An MRM transition of 426>59 provides a signal amplitude of 1.2×10⁵ (FIG. 14B). An MRM transition of 426>271 provides a signal amplitude of 1.42×10⁴ (FIG. 14C). An MRM transition of 426>379 provides a signal amplitude of 1.99×10⁴ (FIG. 14D). An MRM transition of 426>409 provides a signal amplitude of 3.76×10⁵ (FIG. 14E).

FIGS. 14F-I plot intensities of MRM transitions for which the precursor (parent) mass corresponds to protonated chlorfenapyr ([M+H]⁺). FIG. 14F plots an intensity of 409>41 MRM transition, which provides a signal amplitude of 1.03×10⁴. FIG. 14G plots an intensity of a 409>59 MRM transition, which provides a signal amplitude of 1.76×10⁵. FIG. 14H plots an intensity of a 409>271 MRM transition, which provides a signal amplitude of 2.57×10⁴. FIG. 14I plots an intensity of a 409>379 MRM transition, which provides a signal amplitude of 3.42×10⁴.

FIGS. 14J-N are chromatograms for cannabis samples comprising 1000 ppb chlorfenapyr. The chromatograms in FIGS. 14J and 14K were obtained using previously used MRM transitions of 409>271, which provides an S/N ratio of 15 (FIG. 14J), and 409>379 (FIG. 14K), which provides an S/N ratio of 20. In contrast, FIGS. 14L-N are chromatograms obtained using the appropriate MRM transitions disclosed here, which can improve sensitivities by a factor of 3. The MRM transition of 409>59 (FIG. 14L) provides an S/N ratio of 55. The MRM transition of 426>59 (FIG. 14M) provides an S/N ratio of 78. The MRM transition of 426>409 (FIG. 14N) provides an S/N ratio of 37.

The type of LC column can impact identification of chlorfenapyr. For example, use of a biphenyl column may cause mis-identification of trifloxytrobin as chlorfenapyr as the two compounds may co-elute. Use of a C18 column instead of a biphenyl column for baseline resolution can address this issue. FIG. 15A and FIG. 15B are chromatograms obtained using the MRM transitions of 409.1>186 and 409.1>206, respectively. A single peak is obtained using each of these MRM transitions. In contrast, two peaks occur using the MRM transition 409.1>59 (FIG. 15C); a first (earlier occurring) corresponding to trifloxystrobin and a second (later occurring) corresponding to chlorfenapyr.

FIGS. 93A-D compare MRM transition intensities for cannabis samples comprising 100 ppb chlorfenapyr with blank cannabis sample measurements. FIGS. 93A and 93C compare intensities of a 426>409 MRM transition for a pesticide sample comprising 1000 ppb chlorfenapyr and a blank cannabis sample, respectively. FIGS. 93B and 93D compare intensities of a 426>59.1 MRM transition for a pesticide sample comprising 1000 ppb chlorfenapyr and a blank cannabis sample, respectively. The LOQ was approximately 650 ppb.

FIG. 115A and FIG. 115B show intensity measurements for other MRM transitions that are associated with chlorfenapyr and avoid matrix interference. FIG. 115A plots intensity of a 423.9>59 MRM transition for a pesticide sample comprising 100 ppb chlorfenapyr and a blank cannabis sample. FIG. 115B plots intensity of a 406.9>59 MRM transition for a pesticide sample comprising 1000 ppb chlorfenapyr and a blank cannabis sample. For both of these MRM transitions, peaks are observed in the pesticide sample measurements, while the intensities for the blank cannabis sample measurements are relatively flat. The 423.9>59 MRM transition provided an S/N ratio of 51, and the 406.9>59 MRM transition provided an S/N ratio of 145. The LOQ using these transitions was 100 ppb.

FIGS. 115C-F show intensity measurements for various MRM transitions that are associated with chlorfenapyr but suffer from matrix interference, in particular, a 425.9>59 MRM transition (FIG. 115C), a 425.9>408.9 MRM transition (FIG. 115D), a 408.9>59 MRM transition (FIG. 115E), and a 423.9>406.9 MRM transition (FIG. 115F). FIG. 115G and FIG. 115H compare intensities of two different MRM transitions measured for cannabis samples comprising 100 ppb with blank cannabis sample measurements. These MRM transitions were determined to provide lower sensitivity than those shown in FIG. 115A and FIG. 115B. The 408.9>378.8 MRM transition shown in FIG. 115G provided an S/N ratio of 30. FIG. 115H plots intensity of a 408.9>270 MRM transition, which provides a minimal S/N ratio. The LOQ obtained using these transitions was 1000 ppb.

APCI Ionization Source

Chlorfenapyr is typically analyzed using an ESI source, but using an APCI source and MRM transitions 346.9>79 and 348.9>81, better ionization was achieved, and there was less matrix interference, improving detection limits to ˜25 ppb. See FIGS. 123A-B.

EXAMPLE 8 Cinerin I

FIGS. 22A-B and 100A-B compare intensities of two different MRM transitions associated with cinerin I for cannabis samples comprising 1000 ppb cinerin I and blank cannabis samples. Using the MRM transition of 317.2>149 (FIGS. 22A, 22B), the S/N ratio was 180. Using the MRM transition of 317.2>107 MRM transition (FIGS. 100A, 11B), the S/N ratio was 38. The LOQ was approximately 10 ppb.

EXAMPLE 9 Cinerin II

The six MRM transitions for cinerin II shown in Table 8 were evaluated for matrix interference.

TABLE 8 Signal for Six MRM transitions of cinerin II in blank cannabis extract and at a spiked value of 40 ppb in neat solvent and in cannabis matrix Signal in Signal in Blank Signal Cannabis MRM transition Solvent in Cannabis matrix 375.2 > 77 (1)   2.29e4  7.7e4 1.01e5 375.2 > 79 (2)   1.92e4 6.35e4 7.98e4 375.2 > 107.1 (3) 2.89e4 3.01e4 3.99e4 375.2 > 121.1 (4) 5.17e3 1.44e4 1.86e4 375.2 > 149.1 (5) 3.18e4   2e3  1.5e4 375.2 > 213.1 (6)  4.3e3   5e2  1.8e3

Conventionally, MRM transitions yielding the highest signal amplitudes for the solvent samples (“Signal in Solvent” column), in this case MRM 3, would be used to detect and/or quantify cinerin II. Despite MRM 6 having lowest signal in solvent, MRM 6 (375.2>213.1) reduces matrix interference, as does MRM 5 (375.2>149.1).

FIGS. 21A-B and 96A-B compare intensities of two different MRM transitions associated with cinerin II for cannabis samples comprising 1000 ppb cinerin II and blank cannabis samples. The S/N ratio for the 361.2>213 MRM transition was 23 (FIGS. 21A, 21B). The S/N ratio for the 361.2>149 MRM transition was 36 (FIGS. 96A, 96B). A LOQ was approximately 30 ppb.

FIG. 21E and FIG. 21F show challenges matrix interference effects present for certain transitions. FIG. 21E and FIG. 21F plot intensities of a 361.2>107 MRM transition for cannabis samples comprising 1000 ppb cinerin II and blank cannabis samples, respectively. The two intensity plots are nearly indistinguishable, indicating that this transition is dominated by matrix interference from the cannabis matrix. Accordingly, this transition cannot be used for low level analysis of cinerin II in cannabis samples.

EXAMPLE 10 Cyfluthrin

FIGS. 116A-F are chromatograms obtained using various MRM transitions associated with cyfluthrin. FIG. 116A and FIG. 116B show intensity measurements for various MRM transitions that are associated with cyfluthrin but suffer from matrix interference. FIG. 116A plots intensity of a 451>434 MRM transition for a pesticide sample comprising 1000 ppb cyfluthrin and a blank cannabis sample. FIG. 116B plots intensity of a 453>436 MRM transition for a pesticide sample comprising 1000 ppb cyfluthrin and a blank cannabis sample. These MRM transitions suffer from matrix interference (i.e., peaks present in the pesticide sample measurements are also present in the blank cannabis sample measurements). The 451>434 MRM transition provided an S/N ratio of 10. The LOQ was approximately 1000 ppb.

FIG. 116C and FIG. 116D show intensity measurements for two MRM transitions that are associated with cyfluthrin and avoid matrix interferences, but provide low signal amplitude. FIG. 116C plots intensity of a 451>127 MRM transition for a pesticide sample comprising 1000 ppb cyfluthrin and a blank cannabis sample. FIG. 116D plots intensity of a 451>206 MRM transition for a pesticide sample comprising 1000 ppb cyfluthrin and a blank cannabis sample. These MRM transitions provide lower amplitude peaks than the 451>191 and 453>193, but still avoid matrix interference (the intensities for the blank cannabis sample measurements are relatively flat). The 451>127 MRM transition provided an S/N ratio of 25 and the 451>206 MRM transition provided an S/N ratio of 16. The LOQ was approximately 400 ppb.

FIG. 116E plots intensity of a 451>191 MRM transition for a pesticide sample comprising 1000 ppb cyfluthrin and a blank cannabis sample. FIG. 116F plots intensity of a 453>193 MRM transition for a pesticide sample comprising 1000 ppb cyfluthrin and a blank cannabis sample. For both of these MRM transitions, peaks are observed in the pesticide sample measurements, while the intensities for the blank cannabis sample measurements are relatively flat. The 451>191 MRM transition provided an S/N ratio of 66 and the 453>193 MRM transition provided an S/N ratio of 33. The LOQ was approximately 150 ppb was obtained via these MRM transitions.

FIGS. 90A-D also compare MRM transition intensities for cannabis samples comprising 1000 ppb cyfluthrin with blank cannabis sample measurements. FIGS. 90A and 90C compare intensities of the 451.1>191 MRM transition, and FIGS. 90B and 90D compare intensities of the 451.1>434 MRM transition. The LOQ was approximately 600 ppb.

EXAMPLE 11 Cypermethrin

FIGS. 94A-D compare MRM transition intensities for cannabis samples comprising 1000 ppb cypermethrin with blank cannabis sample measurements. FIGS. 94A and 94C compare intensities of a 433.1>127 MRM transition for a pesticide sample comprising 1000 ppb cypermethrin and a blank cannabis sample, respectively. FIGS. 94B and 94D compare intensities of a 433.1>191.1 MRM transition for a pesticide sample comprising 1000 ppb cypermethrin and a blank cannabis sample, respectively. The LOQ was approximately 150 ppb.

FIGS. 117A-D plot intensities of MRM transitions associated with cypermethrin measured for blank cannabis samples and cannabis samples comprising 100 ppb cypermethrin. The MRM transitions shown in FIGS. 117A-D avoid matrix interference from cannabis matrix components and provide an LOQ of 100 ppb. FIG. 117A plots intensities of a 435.1>193.1 MRM transition, which provided an S/N ratio of 105. FIG. 117B plots intensities of a 433.1>191.1 MRM transition, which provided an S/N ratio of 100. FIG. 117C plots intensities of a 433.1>127 MRM transition, which provided an S/N ratio of 110. FIG. 117D plots intensities of a 435.1>127 MRM transition, which provided an S/N ratio of 39. FIG. 117E plots intensities of a 433.1>91 MRM transition and a pesticide sample comprising cypermethrin at 1000 ppb concentration. The 433.1>91 MRM transition suffers from matrix interference and provided an S/N ratio of 20. The LOQ for this transition was 500 ppb.

EXAMPLE 12 Daminozide

FIGS. 17A-B are product ion scans for daminozide with a precursor (parent) ion mass of approximately 161. FIG. 17A shows a product ion scan for a high collision energy (CE) of −30V. FIG. 17B shows a product ion scan for a low CE of −15V.

FIGS. 17C-E plot intensities of three different MRM transitions for cannabis samples comprising 100 ppb daminozide (100 ppb concentration). FIG. 17C plots an intensity of a 161.1>44 MRM transition, for which the determined S/N was 180. FIG. 17D plots an intensity of a 161.1>101 MRM transition, for which the determined S/N was 42. FIG. 17E plots an intensity of a 161.1>143 MRM transition, for which the determined S/N was 390. Accordingly, sensitivity of measurements for daminozide can be improved by a factor of 4 via use of appropriate MRM transitions. Determined LOQs were as low as 11 ppb.

FIGS. 41A-D compare MRM transition intensities for cannabis samples comprising 100 ppb daminozide with blank cannabis sample measurements. FIGS. 41A and 41C compare intensities of a 161.1>143 MRM transition for a pesticide sample comprising 100 ppb daminozide and a blank cannabis sample, respectively. FIGS. 41B and 41D compare intensities of a 161.1>44 MRM transition for a pesticide sample comprising 100 ppb daminozide and a blank cannabis sample, respectively. The LOQ was approximately 10.8 ppb.

EXAMPLE 13 Dimethomorph

The chromatograms shown in FIGS. 24A-F and FIGS. 72A-D compare intensities of different MRM transitions associated with dimethomorph for cannabis samples comprising 100 ppb dimethomorph (100 ppb concentration) and blank cannabis samples. For each of the transitions, two peaks are observed in the intensity plots for the cannabis samples comprising 100 ppb dimethomorph (FIGS. 24A-C, FIGS. 72A, B). FIGS. 24A and 24D plot intensities of a 388.1>165 MRM transition for a sample comprising dimethomorph and a blank cannabis sample, respectively. The first, earlier occurring peak suffers from matrix interference (i.e., a corresponding peak at around the same time is present in the intensity plot for the blank cannabis sample; FIG. 24D) and provides a lower S/N ratio (approximately 15) than the second, later occurring peak, which provided an S/N ratio of 361.

FIGS. 24B and 24E and FIGS. 72A and 72C plot intensities of a 388.1>273 MRM transition for a pesticide sample comprising dimethomorph and a blank cannabis sample, respectively. Neither peak suffers from matrix interference. For the first (earlier occurring) peak, the determined S/N was 210 and for the second (later occurring) peak, the S/N was 255.

FIGS. 24C and 24F and FIGS. 72B and 72D plot intensities of a 388.1>301 MRM transition for a pesticide sample comprising dimethomorph and a blank cannabis sample, respectively. Neither peak suffers from matrix interference. For the first (earlier occurring) peak, the S/N ratio was 807 and for the second (later occurring) peak, the S/N ratio was 1251. Through use of appropriate MRM transitions, detection limits for dimethomorph were improved by a factor of 10, to an LOQ of 10 ppb.

EXAMPLE 14 Naled (“Dibrom”)

FIG. 16A is a graph showing a calculated isotope distribution of naled, whose structure is shown below:

FIG. 16B is a precursor (parent) mass scan for a sample comprising naled. In FIG. 16B, the relative abundances of M (378.7 peak), M+2 (380.7 peak), M+4 (382.7 peak) and M+6 (384.7 peak) ions are 42%, 100%, 91%, and 36%, respectively.

FIGS. 16C-F and FIG. 113 are chromatograms obtained using different MRM transitions associated with naled for cannabis samples comprising 100 ppb naled. An MRM transition of 380.8>127 (FIG. 16C) provides a signal (peak) amplitude of 1.44×10⁴ and an S/N ratio of 255. An MRM transition of 378.8>127 (FIG. 16D) provides a signal amplitude of 5.46×10³ and a S/N ratio of 96. Using an MRM transition of 380.8>109 (FIG. 16E) provides a signal amplitude of 3.57×10³ and a S/N ratio of 60. An MRM transition of 382.8>127 (FIG. 113) provides a signal of 1.38×10⁴ and a S/N ratio of 300. An MRM transition of 378.8>109 (FIG. 16F) provides a signal of 1.6×10³ and a S/N ratio of 1230.

FIGS. 60A and 60C compare intensities of the 380.8>109 MRM transition for a pesticide sample comprising naled (100 ppb concentration) and a blank cannabis sample, respectively. FIGS. 60B and 60D compare intensities of the 380.8>127 MRM transition for a cannabis samples comprising 100 ppb naled and a blank cannabis sample, respectively.

The LOQs were as low as approximately 23 ppb.

EXAMPLE 15 N-Octyl Bicycloheptene Dicarboximide (“MGK-264”)

FIG. 20A and FIG. 20B are product ion scans for MGK-264. FIG. 20A shows a product ion scan for a low collision energy of −25V. FIG. 20B shows a product ion scan for a high collision energy of −50V. Major fragment ions at mass 210.1 and mass 98 were observed. FIGS. 20C-E plot intensities of three different MRM transitions for cannabis samples comprising 100 ppb MGK-264. Using an MRM transition of 276.2>98 (FIG. 20C) provides a S/N ratio of 300. Using an MRM transition of 276.2>121 (FIG. 20D) provides a S/N ratio of 5. Using an MRM transition of 276.2>210 (FIG. 20E) provides a S/N ratio of 1500. Accordingly, improvements in S/N of factors of 10 or more may be obtained through use of appropriate MRM transitions.

FIGS. 85A-D compare MRM transition intensities for cannabis samples comprising 100 ppb MGK-264 with blank cannabis sample measurements. FIGS. 85A and 85C compare intensities of a 276.2>98 MRM transition, and FIGS. 85B and 85D compare intensities of a 276.2>210.1 MRM transition. The LOQ was approximately 10 ppb.

EXAMPLE 16 Propiconazole

Some cannabis plant extracts have lower levels of matrix interference than others with MRM transitions based on nominal Q1 mass of about 342 Da. These example provides MRM transitions useful for detecting propiconazole in both types of extracts.

FIGS. 87A-D compare MRM transition intensities for cannabis samples having relatively low matrix interference comprising 100 ppb propiconazole with blank cannabis sample measurements. FIGS. 87A and 87C compare intensities of a 342.1>69 MRM transition, and FIGS. 87B and 87D compare intensities of a 342.1>159 MRM transition. The LOQ was approximately 19 ppb, which is 5.3-fold lower than the lowest California action limit of 100 ppb.

FIGS. 114A-D are four graphs that compare intensities of two different MRM transitions measured for cannabis samples having higher matrix interference with MRM transitions based on nominal Q1 mass of 342 and comprising 10 ppb propiconazole with measurements from blank cannabis samples. FIG. 114A plots intensity of a 342>69 MRM transition, FIG. 114B plots intensity of a 342>159 MRM transition, and FIG. 114D plots intensity of the 342>69 MRM transition for a blank cannabis sample. For both the 342>69 and the 342>159 MRM transitions, matrix interference peaks were present in the blank cannabis sample measurements, as shown in FIG. 114C and FIG. 114D.

FIGS. 114E-H (10 ppb propiconazole) show intensities of two MRM transitions, 344>69 and 344>161, that do not suffer from matrix interference. FIG. 114E and FIG. 114F plot intensities of a 344>69 MRM transition, and FIGS. 114G and 114H plot intensities of a 344>161 MRM transitions. Intensity peaks present in the pesticide sample measurements (FIG. 114E and FIG. 114F) were not observed in the corresponding blank cannabis sample measurements (FIG. 114G and FIG. 114H). The LOQ was approximately 10 ppb.

FIGS. 114I-L compare four MRM transition intensity measurements for cannabis samples comprising 100 ppb propiconazole with blank cannabis sample measurements. Each of FIGS. 114I-L plots intensity measurements for a particular MRM transition. In particular, measurements of a 342>69, a 342>159, a 344>69, and a 344>161 MRM transition are shown in FIG. 114I, FIG. 114J, FIG. 114K, and FIG. 114L, respectively. In each of FIGS. 1141-L, a first trace plots intensity of the MRM transition measured for a pesticide sample comprising 100 ppb propiconazole and a second trace plots intensity of the MRM transition. As shown in FIG. 114I and FIG. 114J, for the 342>69 and 342>159 MRM transitions suffer from matrix interference, as intensity peaks present in the pesticide sample measurements are also present for the blank cannabis sample. In contrast, the 344>69 and 344>161 MRM transitions do not suffer from matrix interference. As shown in FIG. 114K and FIG. 114L, large signal peaks are observed in the pesticide sample measurements, whereas the blank cannabis sample intensity varies minimally in comparison.

EXAMPLE 17 APCI Method for Quintozene (PCNB) and Chlordane

Two very hydrophobic and chlorinated pesticides (quintozene and chlordane) are traditionally analyzed by GC-MS because they do not ionize sufficiently by LC-MS with an ESI source. This example describes the use of an APCI source to ionize quintozene and chlordane. This method also can be used to ionize chlorfenapyr.

The structure of quintozene is shown below.

Quintozene does not comprise any hydrogen atoms and is therefore difficult to ionize using LC-MS-compatible techniques, in which protons are either gained or lost to form ions. Quintozene also does not form adducts and cannot gain or lose a proton. Instead, conventional approaches rely on GCMS with electron ionization (EI) for detection and/or quantification of quintozene.

Chlordane is highly chlorinated and has very low protein affinity. Two forms of chlordane exist: a cis form and a trans form. Chemical structures of these two forms of chlordane are shown below.

In this example, quintozene and chlordane were ionized using an APCI source with air as a nebulizing gas. It is also possible, however, to use air and/or other gases, such as nitrogen, argon, and carbon dioxide.

Using a fast 6 minute LC-MS/MS method with short LC gradient and the APCI source of the QSight LC-MS/MS system, the LOQs of quintozene and chlordane in cannabis samples comprising 100 ppb of either pesticide were 10 and 33 ppg, respectively.

FIG. 33A and FIG. 33B show isotope distributions for quintozene ions formed via APCI. FIG. 33A shows a precursor (parent) mass scan for qunozene obtaiend via APCI in negative mode. In FIG. 33A, the lowest mass (273.9) peak corresponds to [M-Cl+O]—. The relative abundances of ions corresponding to the 273.9 peak, 275.9 peak, 277.8 peak and 279.9 peak are 80.4%, 100%, 51%, and 12%, respectively. FIG. 33B shows the calculated isotope distribution.

FIG. 34A and FIG. 34B show isotope distributions for chlordane ions formed via APCI. FIG. 34A shows a precursor (parent) mass scan for chlordane obtaiend via APCI. In FIG. 34A, the relative abundances of the ions corresponding to the 437.7 peak (M), 439.7 peak (M+2), 441.6 peak (M+4), 443.8 peak (M+6), and 445.7 peak (M+8) are 34.5%, 88.8%, 100%, 64.4%, and 25.9%, respectively. FIG. 34B shows a calculated distribution.

As described herein, presence of additives in mobile phases used by LC methods can influence signal levels obtained for molecules ionized via the disclosed APCI technique. In this example, the influence of presence of additives in LC methods is shown for chlordane in FIG. 35A and FIG. 35B. FIG. 35A plots a precursor (parent) mass scan for a sample comprising chlordane that was separated using a LC method that employed mobile phases without additives. FIG. 35B plots a precursor (parent) mass scan for a sample comprising chlordane that was separated using a LC method that employed mobile phases with formic acid. Good signal is observed for the LC method without additives (FIG. 35A), while no signal was observed for chlordane for the LC method with additives (FIG. 35B).

FIG. 36 is a graph showing a product ion scan for quintozene. The various peaks in the graph correspond to the following ions (relevant peak listed in parentheses): Cl35- (35.1), Cl37- (37.1), [M-Cl—C—NO₂+O—O]⁻ (201.8), [M-Cl—C—NO₂+O]⁻ (271.8), [M-Cl—NO₂+O]⁻ (229.9), [M-Cl—Cl+O]⁻ (240.9), [M-Cl—NO+O]⁻ (245.9), [M-Cl+O]⁻ (275.9), where M represents quintozene (pentachloronitrobenzene).

FIG. 39 is a graph showing background spectra for mobile phase entering into an APCI source in a negative ion mode over low mass range of 15-100.

Without wishing to be bound to any particular theory, it is believed that the mechanism of quintozene ionization with an APCI source is as follows:

O₂+e⁻→O₂ ⁻

M+O₂→[M-Cl+O]⁻+ClO, where M represents quintozene.

Without wishing to be bound to any particular theory, it is believed that the mechanism of chlordane ionization with an APCI source is as follows:

O₂+e⁻→O₂ ⁻

M+O₂→[M+O₂]⁻, where M represents chlordane.

FIGS. 37A-B are chromatograms of cannabis samples analyzed for the presence of quintozene using MRM transitions 275.8>35.1 (FIGS. 37A, 37C) and 273.8>35.1 (FIGS. 37B, 37D). FIGS. 37A and 37B are cannabis samples comprising 100 ppb quintozene. FIGS. 37C and 37D are blank cannabis samples.

FIG. 38A-B are chromatograms of cannabis samples analyzed for the presence of chlordane using MRM transitions 275.8>35 (FIGS. 38A, 38C; qualifier) and 273.8>35 (FIGS. 38B, 38D, quantifier). FIGS. 38A and 38B are cannabis samples comprising 100 ppb chlordane. FIGS. 38C and 38D are blank cannabis samples.

EXAMPLE 18 Long Term Stability

Long term stability data for pesticide and mycotoxin analysis in cannabis was collected using a triple quadrupole mass spectrometer fitted with dual electrospray ionization source and atmospheric chemical ionization source (APCI) and combined with a heated and self-cleaning stay clean source with laminar flow interface.

FIG. 120 shows long term response (1 week) for a cannabis extract comprising 100 ng/ml of diazinon. Long term stability data for pesticide analysis in cannabis showed that response RSD over 1 week for majority of pesticides and mycotoxins was between 1.5 to 20%. These results demonstrate that the heated self-cleaning stay clean source in a LC-MS/MS system reduce maintenance needs of the LC-MS/MS based method for pesticide and mycotoxins analysis in dirty matrices such as cannabis. Most of LC-MS/MS methods published in literature with other LCMS systems on the market either do not show long term stability data or state that they had to clean electrospray source every day or after a batch to maintain sensitivity of mass spectrometer (Geis-Asteggiante et al., J. Chromatogr. A, 1258, 43-54, 2012). Also, they divert LC flow away from the MS for the first few minutes and after the last peak elutes out to reduce MS contamination from un-retained and late eluting matrix compounds from LC column. In this study, excellent long term stability data was obtained without diverting the LC flow from MS in the first few minutes and at the end of run and periodical cleaning of ion source.

EXAMPLE 19 Recovery Studies with Solvent Extraction

QuEChERS is a method for extraction of low levels of contaminants such as pesticides from fruit and vegetable matrices with higher water content (Anastassiades et al., J. AOAC Int. 86(2), 412-31, 2003). It works for extraction for broad range of pesticides from these food matrices with effective removal of sugars and other compounds in fruits and vegetables (Chung & Chan, J. Chromatogr. A, 1217, 4815-24, 2010; Cunha et al., J. Sep. Sci. 30(4), 620-26, 2007; Sapozhinikova, J. Agric. Food Chem. 62, 3684-89, 2014; Wang & Cheung, J. AOAC Int. 99(2), 539-57, 2016; Villar-Pulido et al., Talanta 85, 1419-27, 2011). It is not suitable for very polar pesticides such as daminozide which is included in California and other states monitoring list for cannabis, daminozide is too polar to be extracted efficiently with QuEChERS extraction procedure since it remains in the aqueous phase and does not partition into the organic solvent during salting out step. The recovery of daminozide from cannabis matrix with QuEChERS extraction has been reported to be less than 10% (Stenerson & Oden, Cann. Sci. & Tech. 1(1), 48-53, 2018). Moreover, cannabis matrix contains mostly hydrophobic compounds such as cannabinoids and terpenes, therefore QuEChERS extraction method does not remove much of matrix compounds during salting out step. Different groups have tried to develop advanced QuEChERS methods with d-SPE step which utilizes PSA and other adsorbents to remove matrix from cannabis extract (e.g., Kowlaski et al., LCGC 35(5) 8-22, 2017; Wang et al., LCGC 34(10), 20-7, 2016). These compounds bind to PSA adsorbent in the d-SPE step, and thus they have poor recoveries.

Due to above shortcomings of QuEChERS method for extraction of pesticides from cannabis matrix, we used a simple acetonitrile based solvent extraction method for extraction of pesticides from cannabis matrix. Fortified cannabis flower samples were produced to determine pesticides and aflatoxins recovery. The cannabis flower samples were tested to confirm the absence of pesticides before spiking with them. Five cannabis flower samples were spiked at 2 levels (low and high) of all pesticides (0.1 and 1 μg/g) and mycotoxins (0.02 and 0.1 μg/g) standard. These two levels were chosen based on regulatory limits, for pesticides and mycotoxins in cannabis, from California and other states. Table 9, 10, and 11 show that absolute recoveries of all 66 pesticides and 5 mycotoxins at 2 different levels was within acceptable range of 70-120% with RSD less than 20% for 5 cannabis flower samples. For 3 pesticides, the recovery values were not reported at low spiked value because it was below their LOQ value.

TABLE 9 Recovery of Category II pesticides at 2 different levels from cannabis with acetonitrile solvent extraction method Low Level 0.1 μg/g High Level 1 μg/g Recovery/ RSD/% Recovery/ RSD/% Pesticide % (n = 5) % (n = 5) Abamectin 85 10 89 9 Acephate 93 16 91 9 Acequinocyl 90 11 86 6 Acetamiprid 87 13 95 9 Azoxystrobin 87 12 92 8 Bifenazate 88 8 88 7 Bifenthrin 84 13 94 7 Boscalid 87 10 89 5 Captan NA NA 70 15 Carbaryl 84 12 92 10 Chlorantraniliprole 88 13 90 8 Clofentezine 87 13 91 12 Cyfluthrin NA NA 97 17 Cypermethrin 98 18 85 13 Diazinon 96 10 95 10 Dimethomorph 87 15 90 7 Etoxazole 89 10 92 10 Fenhexamid 87 12 87 7 Fenpyroximate 87 9 93 8 Flonicamid 93 15 92 12 Fludioxonil 94 13 93 8 Hexythiazox 86 11 93 7 Imidacloprid 89 11 91 9 Kresoxim-methyl 91 10 95 8 Malathion 90 12 91 7 Metalaxyl 86 10 92 8 Methomyl 89 10 90 9 Myclobutanil 84 10 93 7 Naled 87 10 91 7 Oxamyl 93 16 94 9 Pentachloronitrobenzene 80 16 88 8 Permethrin 87 17 92 9 Phosmet 86 11 91 7 Piperonylbutoxide 91 8 94 8 Prallethrin 88 15 94 8 Propiconazole 90 14 95 11 Pyrethrins 89 12 93 9 Pyridaben 84 13 92 9 Spinetoram 93 13 94 9 Spinosad 88 14 90 10 Spiromesifen 90 8 92 5 Spirotetramat 97 10 90 7 Tebuconazole 94 12 91 7 Thiamethoxam 90 10 95 10 Trifloxystrobin 86 12 93 9

TABLE 10 Recovery of Category II mycotoxins at 2 different levels from cannabis with acetonitrile solvent extraction method Low Level 0.02 μg/g High Level 0.1 μg/g Recovery/ RSD/% Recovery/ RSD/% Mycotoxin % (n = 5) % (n = 5) Aflatoxin B1 75 15 84 9 Aflatoxin B2 78 14 82 9 Aflatoxin G1 76 12 85 7 Aflatoxin G2 79 12 84 6

TABLE 11 Recovery of Category I pesticides at 2 different levels from cannabis with acetonitrile solvent extraction method Low Level 0.1 μg/g High Level 1 μg/g Recovery/ RSD/% Recovery/ RSD/% Pesticide % (n = 5) % (n = 5) Aldicarb 87 11 94 11 Carbofuran 86 11 91 9 Chlordane 87 19 92 10 Chlorfenapyr NA NA 99 10 Chlorpyrifos 94 8 92 8 Coumaphos 90 12 95 10 daminozide 82 15 80 14 DDVP 94 14 91 11 (Dichlorvos) Dimethoate 89 11 96 9 Ethoprop(hos) 92 9 94 7 Etofenprox 88 13 93 8 Fenoxycarb 91 11 93 7 Fipronil 89 9 95 8 Imazalil 86 10 89 10 Methiocarb 81 9 93 6 Methyl parathion 89 14 96 11 Mevinphos 86 10 95 10 Paclobutrazol 79 13 90 6 Propoxur 91 13 93 9 Spiroxamine 88 9 89 9 Thiacloprid 89 13 95 10

EXAMPLE 20 Quantification

FIG. 31 is a bar graph showing overall recovery ranges for analyzed pesticides. As shown, overall recovery values for 93% of the pesticides ranged from 80% to 120% (overall recovery values for 49 of 72 pesticides ranged from 80% to 120% and overall recovery values for 18 of 72 pesticides ranged from 60% to 80%). These calculations were based on use of mixture of only 10 internal standards. The use of the internal standards mixture disclosed in this specification has the potential to improve recoveries for the remaining 5 pesticides (those having overall recovery values below 60%) to values ranging from 60% to 120%. For example, FIG. 32A and FIG. 32B show calibration curves for azoxystrobin at concentrations ranging from 0.1-120 ppb in (i) samples comprising cannabis plant material (cannabis matrix) and (ii) solvent (without cannabis plant material), respectively.

Tables 9-11 above and FIG. 40A and FIG. 40B summarize detection and/or quantification results for pesticides analyzed in this disclosure. FIG. 40A and FIG. 40B plot the various numbers of pesticides for which LOQs within different ranges were obtained. FIG. 40A, the LOQs were determined using both quantifier and qualifier transitions and in FIG. 40B, the LOQs were determined based on the quantifier transitions only.

The limits of quantification (LOQs) and response reproducibility at the LOQ level for each of the EPA category II pesticides (moderately toxic and moderately irritating), EPA category I pesticides (highly toxic and severely irritating), and mycotoxins in cannabis extract are summarized in Tables 12, 13, and 14. LOQs were determined by taking into account both the signals of the quantifier and qualifier ions (signal to noise ratio, S/N, >10 for both) and ensuring that the product ion ratios were within the 20% tolerance windows of the expected ratio.

TABLE 12 LOQs for Category II Pesticides. California LOQ Action Action QSight % CV Level Level/LOQ Pesticide (μg/g) (n = 7) (μg/g) QSight Abamectin 0.025 10.6 0.1 4.0 Acephate 0.010 3.1 0.1 10.0 Acequinocyl 0.025 13.3 0.1 10.0 Acetamiprid 0.010 13.1 0.1 10.0 Azoxystrobin 0.005 5.0 0.1 20.0 Bifenazate 0.010 10.8 0.1 10.0 Bifenthrin 0.010 14.4 0.5 50.0 Boscalid 0.025 12.2 0.1 4.0 Captan* 0.25 7.0 0.7 2.8 Carbaryl 0.010 9.5 0.5 50.0 Chlorantraniliprole 0.025 5.6 10.0 400.0 Clofentezine 0.010 11.3 0.1 10.0 Cyfluthrin* 0.25 19.1 1.0 4 Cypermethrin* 0.100 20 1.0 10.0 Diazinon 0.005 3.8 0.2 40.0 Dimethomorph 0.005 1.4 2.0 400.0 Etoxazole 0.005 13.5 0.1 20.0 Fenhexamid 0.010 12.5 0.1 10.0 Fenpyroximate 0.005 6.9 0.1 20.0 Flonicamid 0.010 10.2 0.1 10.0 Fludioxonil 0.050 9.5 0.1 2.0 Hexythiazox 0.005 8.4 0.1 20.0 Imidacloprid 0.010 10.3 3.0 300.0 Kresoxim-methyl 0.025 8.1 0.1 4.0 Malathion 0.010 14.7 0.5 50.0 Metalaxyl 0.010 8.0 2.0 200.0 Methomyl 0.010 8.5 0.1 10.0 Myclobutanil 0.010 10.4 0.1 10.0 Naled* 0.010 8.4 0.1 10.0 Oxamyl 0.010 6.7 0.2 20.0 Pentachloronitrobenzene*^(†) 0.010 13.0 0.1 10.0 Permethrin* 0.010 16.0 0.5 50.0 Phosmet 0.005 13.3 0.1 20.0 Piperonylbutoxide 0.005 3.5 3.0 600.0 Prallethrin 0.025 7.4 0.1 4.0 Propiconazole 0.015 8.9 0.1 6.67 Pyrethrins* 0.1 1.4 0.5 5.0 Pyridaben 0.010 7.9 0.1 10.0 Spinetoram 0.005 13.8 0.1 20.0 Spinosad 0.005 9.3 0.1 20.0 Spiromesifen 0.010 9.4 0.1 10.0 Spirotetramat 0.010 8.4 0.1 10.0 Tebuconazole 0.005 11.0 0.1 20.0 Thiamethoxam 0.010 3.6 4.5 450.0 Trifloxystrobin 0.005 8.4 0.1 20.0 *Typically analyzed using GC-MS/MS. ^(†)Analyzed by APCI.

TABLE 13 LOQs for Category II Mycotoxins California LOQ Action Action QSight % CV Level Level/LOQ Mycotoxin (μg/g) (n = 7) (μg/g) QSight Ochratoxin A 0.010 18 0.020 2.0 Aflatoxin B1 0.001 18 NA NA Aflatoxin B2 0.0015 14 NA NA Aflatoxin G1 0.010 18 NA NA Aflatoxin G2 0.0015 19 NA NA Aflatoxin 0.005 NA 0.020 4.0 (B1 + B2 + G1 + G2)

TABLE 14 LOQs for category I Pesticides California QSight LOQ Action % CV Level Pesticide (μg/g) (n = 7) (μg/g) Aldicarb 0.01 10.6 0.1 Carbofuran 0.01 3.1 0.1 Chlordane*^(†) 0.033 13.3 0.1 Chlorfenapyr* 0.2 13.1 0.1 Chlorpyrifos 0.01 5.0 0.1 Coumaphos 0.01 10.8 0.1 daminozide 0.015 14.4 0.1 DDVP 0.025 12.2 0.1 (Dichlorvos) Dimethoate 0.01 3.8 0.1 Ethoprop(hos) 0.01 9.5 0.1 Etofenprox 0.01 5.6 0.1 Fenoxycarb 0.01 11.3 0.1 Fipronil 0.01 19.1 0.1 Imazalil 0.01 23.1 0.1 Methiocarb 0.01 3.8 0.1 Methyl parathion 0.04 1.4 0.1 Mevinphos 0.025 13.5 0.1 Paclobutrazol 0.01 12.5 0.1 Propoxur 0.01 6.9 0.1 Spiroxamine 0.01 10.2 0.1 Thiacloprid 0.01 9.5 0.1 *Typically analyzed using GC-MS/MS. ^(†)Analyzed by APCI.

EXAMPLE 21 Computer System and Network Environment

In FIG. 4, an implementation of a network environment 400 for use in providing the systems and methods described herein is shown and described. In brief overview, referring now to FIG. 4, a block diagram of an illustrative cloud computing environment 400 is shown and described. The cloud computing environment 400 may include one or more resource providers 402 a, 402 b, 402 c (collectively, 402). Each resource provider 402 may include computing resources. In some implementations, computing resources may include any hardware and/or software used to process data. For example, computing resources may include hardware and/or software capable of executing algorithms, computer programs, and/or computer applications. In some implementations, illustrative computing resources may include application servers and/or databases with storage and retrieval capabilities. Each resource provider 402 may be connected to any other resource provider 402 in the cloud computing environment 400. In some implementations, the resource providers 402 may be connected over a computer network 408. Each resource provider 402 may be connected to one or more computing device 404 a, 404 b, 404 c (collectively, 404), over the computer network 408.

The cloud computing environment 400 may include a resource manager 406. The resource manager 406 may be connected to the resource providers 402 and the computing devices 404 over the computer network 408. In some implementations, the resource manager 406 may facilitate the provision of computing resources by one or more resource providers 402 to one or more computing devices 404. The resource manager 406 may receive a request for a computing resource from a particular computing device 404. The resource manager 406 may identify one or more resource providers 402 capable of providing the computing resource requested by the computing device 404. The resource manager 406 may select a resource provider 402 to provide the computing resource. The resource manager 406 may facilitate a connection between the resource provider 402 and a particular computing device 404. In some implementations, the resource manager 406 may establish a connection between a particular resource provider 402 and a particular computing device 404. In some implementations, the resource manager 406 may redirect a particular computing device 404 to a particular resource provider 402 with the requested computing resource.

FIG. 5 shows an example of a computing device 500 and a mobile computing device 550 that can be used to implement the techniques described in this disclosure. The computing device 500 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The mobile computing device 550 is intended to represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart-phones, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be illustrative examples only, and are not meant to be limiting.

The computing device 500 may include a processor 502, a memory 504, a storage device 506, a high-speed interface 508 connecting to the memory 504 and multiple high-speed expansion ports 510, and a low-speed interface 512 connecting to a low-speed expansion port 514 and the storage device 506. Each of the processor 502, the memory 504, the storage device 506, the high-speed interface 508, the high-speed expansion ports 510, and the low-speed interface 512, may be interconnected using various busses, and may be mounted on a common motherboard or in other manners as appropriate. The processor 502 can process instructions for execution within the computing device 500, including instructions stored in the memory 504 or on the storage device 506 to display text and/or graphical information for a graphical user interface (GUI) on an external input/output device, such as a display 516 coupled to the high-speed interface 508. In other implementations, multiple processors and/or multiple buses may be used, as appropriate, along with multiple memories and types of memory. Also, multiple computing devices may be connected, with each device providing portions of the necessary operations (e.g., as a server bank, a group of blade servers, or a multi-processor system). Thus, as the term is used herein, where a plurality of functions are described as being performed by “a processor”, this encompasses embodiments wherein the plurality of functions are performed by any number of processors (one or more) of any number of computing devices (one or more). Furthermore, where a function is described as being performed by “a processor”, this encompasses embodiments wherein the function is performed by any number of processors (one or more) of any number of computing devices (one or more) (e.g., in a distributed computing system).

The memory 504 stores information within the computing device 500. In some implementations, the memory 504 is a volatile memory unit or units. In some implementations, the memory 504 is a non-volatile memory unit or units. The memory 504 may also be another form of computer-readable medium, such as a magnetic or optical disk.

The storage device 506 is capable of providing mass storage for the computing device 500. In some implementations, the storage device 506 may be or contain a computer-readable medium, such as a floppy disk device, a hard disk device, an optical disk device, or a tape device, a flash memory or other similar solid state memory device, or an array of devices, including devices in a storage area network or other configurations. Instructions can be stored in an information carrier. The instructions, when executed by one or more processing devices (for example, processor 502), perform one or more methods, such as those described above. The instructions can also be stored by one or more storage devices such as computer- or machine-readable mediums (for example, the memory 504, the storage device 506, or memory on the processor 502).

The high-speed interface 508 may manage bandwidth-intensive operations for the computing device 500, while the low-speed interface 512 may manage lower bandwidth-intensive operations. Such allocation of functions is an example only. In some implementations, the high-speed interface 508 may be coupled to the memory 504, the display 516 (e.g., through a graphics processor or accelerator), and to the high-speed expansion ports 510, which may accept various expansion cards (not shown). In some implementations, the low-speed interface 512 may be coupled to the storage device 506 and the low-speed expansion port 514. The low-speed expansion port 514, which may include various communication ports (e.g., USB, BLUETOOTH®, Bluetooth Low Energy, Ethernet, wireless Ethernet) may be coupled to one or more input/output devices, such as a keyboard, a pointing device, a scanner, or a networking device such as a switch or router, e.g., through a network adapter.

The computing device 500 may be implemented in a number of different forms, as shown in the figure. For example, it may be implemented as a standard server 520, or multiple times in a group of such servers. In addition, it may be implemented in a personal computer such as a laptop computer 522. It may also be implemented as part of a rack server system 524. Alternatively, components from the computing device 500 may be combined with other components in a mobile device (not shown), such as a mobile computing device 550. Each of such devices may contain one or more of the computing device 500 and the mobile computing device 550, and an entire system may be made up of multiple computing devices communicating with each other.

The mobile computing device 550 may include a processor 552, a memory 564, an input/output device such as a display 554, a communication interface 566, and a transceiver 568, among other components. The mobile computing device 550 may also be provided with a storage device, such as a micro-drive or other device, to provide additional storage. Each of the processor 552, the memory 564, the display 554, the communication interface 566, and the transceiver 568, may be interconnected using various buses, and several of the components may be mounted on a common motherboard or in other manners as appropriate.

The processor 552 can execute instructions within the mobile computing device 550, including instructions stored in the memory 564. The processor 552 may be implemented as a chipset of chips that include separate and multiple analog and digital processors. The processor 552 may provide, for example, for coordination of the other components of the mobile computing device 550, such as control of user interfaces, applications run by the mobile computing device 550, and wireless communication by the mobile computing device 550.

The processor 552 may communicate with a user through a control interface 558 and a display interface 556 coupled to the display 554. The display 554 may be, for example, a TFT (Thin-Film-Transistor Liquid Crystal Display) display or an OLED (Organic Light Emitting Diode) display, or other appropriate display technology. The display interface 556 may comprise appropriate circuitry for driving the display 554 to present graphical and other information to a user. The control interface 558 may receive commands from a user and convert them for submission to the processor 552. In addition, an external interface 562 may provide communication with the processor 552, so as to enable near area communication of the mobile computing device 550 with other devices. The external interface 562 may provide, for example, for wired communication in some implementations, or for wireless communication in other implementations, and multiple interfaces may also be used.

The memory 564 stores information within the mobile computing device 550. The memory 564 can be implemented as one or more of a computer-readable medium or media, a volatile memory unit or units, or a non-volatile memory unit or units. An expansion memory 574 may also be provided and connected to the mobile computing device 550 through an expansion interface 572, which may include, for example, an SD card and/or a SIMM (Single In Line Memory Module) card interface. The expansion memory 574 may provide extra storage space for the mobile computing device 550, or may also store applications or other information for the mobile computing device 550. Specifically, the expansion memory 574 may include instructions to carry out or supplement the processes described above, and may include secure information also. Thus, for example, the expansion memory 574 may be provide as a security module for the mobile computing device 550, and may be programmed with instructions that permit secure use of the mobile computing device 550. In addition, secure applications may be provided via the SIMM cards, along with additional information, such as placing identifying information on the SIMM card in a non-hackable manner.

The memory may include, for example, flash memory and/or NVRAM memory (non-volatile random access memory), as discussed below. In some implementations, instructions are stored in an information carrier. The instructions, when executed by one or more processing devices (for example, processor 552), perform one or more methods, such as those described above. The instructions can also be stored by one or more storage devices, such as one or more computer- or machine-readable mediums (for example, the memory 564, the expansion memory 574, or memory on the processor 552). In some implementations, the instructions can be received in a propagated signal, for example, over the transceiver 568 or the external interface 562.

The mobile computing device 550 may communicate wirelessly through the communication interface 566, which may include digital signal processing circuitry where necessary. The communication interface 566 may provide for communications under various modes or protocols, such as GSM voice calls (Global System for Mobile communications), SMS (Short Message Service), EMS (Enhanced Messaging Service), or MMS messaging (Multimedia Messaging Service), CDMA (code division multiple access), TDMA (time division multiple access), PDC (Personal Digital Cellular), WCDMA (Wideband Code Division Multiple Access), CDMA2000, or GPRS (General Packet Radio Service), among others. Such communication may occur, for example, through the transceiver 568 using a radio-frequency. In addition, short-range communication may occur, such as using a BLUETOOTH®, WI-FI™, or other such transceiver (not shown). In addition, a GPS (Global Positioning System) receiver module 570 may provide additional navigation- and location-related wireless data to the mobile computing device 550, which may be used as appropriate by applications running on the mobile computing device 550.

The mobile computing device 550 may also communicate audibly using an audio codec 560, which may receive spoken information from a user and convert it to usable digital information. The audio codec 560 may likewise generate audible sound for a user, such as through a speaker, e.g., in a handset of the mobile computing device 550. Such sound may include sound from voice telephone calls, may include recorded sound (e.g., voice messages, music files, etc.) and may also include sound generated by applications operating on the mobile computing device 550.

The mobile computing device 550 may be implemented in a number of different forms, as shown in the figure. For example, it may be implemented as a cellular telephone 580. It may also be implemented as part of a smart-phone 582, personal digital assistant, or other similar mobile device.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof These various implementations can include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software, software applications or code) include machine instructions for a programmable processor, and can be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms machine-readable medium and computer-readable medium refer to any computer program product, apparatus and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term machine-readable signal refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

In some implementations, various modules can be separated, combined or incorporated into single or combined modules. Any modules depicted in the figures are not intended to limit the systems described herein to the software architectures shown therein. 

1. A method of detecting a pesticide in a sample, the method comprising: (a) ionizing at least a portion of the sample using an atmospheric chemical ionization (APCI) source to create a first ionized sample stream; and (b) detecting, using a triple quadrupole mass spectrometer, a first MRM transition in the first ionized sample stream, wherein the first MRM transition is selected from the group consisting of 439.8>35.1 (chlordane) and 441.8>35.1 (chlordane).
 2. The method of claim 1, further comprising: (c) ionizing at least a portion of the sample using an electrospray ionization (ESI) source to create a second ionized sample stream; and (d) detecting a second MRM transition in the second ionized sample stream.
 3. The method of claim 2, wherein the second MRM transition is an MRM transition of a pesticide, wherein the pesticide is selected from the group consisting of abamectin, acephate, acequinocyl, acetamiprid, aldicarb, atrazine, azoxystrobin, bifenazate, bifenthrin, boscalid, captan, carbaryl, carbofuran, chlorantraniliprole, chlorfenapyr, chlorpyrifos, cinerin-I, cinerin-II, clofentezine, coumaphos, cyfluthrin, cypermethrin, daminozide, diazinon, dichlorvos, dimethoate, dimethomorph, ethoprophos, etofenprox, etoxazole, fenhexamid, fenoxycarb, fenpyroximate, fipronil, flonicamid, fludioxonil, hexythiazox, imazalil, imidacloprid, jasmolin-I, jasmolin-II, kresoxim-methyl, malathion, metalaxyl, methiocarb, methomyl, mevinphos, myclobutanil, naled, n-octyl bicycloheptene dicarboximide (MGK-264), oxamyl, paclobutrazol, parathion methyl, permethrin, phosmet, piperonyl butoxide, prallethrin, propiconazole, propoxur, pyrethrin-I, pyrethrin-II, pyridaben, spinetoram, spinosyn A, spinosyn D, spiromesifen, spirotetramat, spiroxamine, tebuconazole, thiachloprid, thiamethoxam, thiophanate methyl, and trifloxystrobin.
 4. The method of claim 1, wherein the first ionized sample stream is obtained from a cannabis sample.
 5. The method of claim 2, further comprising: (e) detecting a third MRM transition in the second ionized sample stream, wherein the third MRM transition is associated with a mycotoxin selected from the group consisting of mycotoxin B1, mycotoxin B2, mycotoxin G1, mycotoxin G2, and ochratoxin A.
 6. The method of claim 3, further comprising: (e) detecting a third MRM transition in the second ionized sample stream, wherein the third MRM transition is associated with a mycotoxin selected from the group consisting of mycotoxin B1, mycotoxin B2, mycotoxin G1, mycotoxin G2, and ochratoxin A.
 7. The method of claim 2, wherein the second MRM transition is selected from the group consisting of 402.2>343.1 (acequinocyl) and 402.2>189 (acequinocyl).
 8. The method of claim 2, wherein the second MRM transition is selected from the group consisting of 316.9>263.9 (captan), 316.9>235.9 (captan), 318.9>265.9 (captan), and 318.9>237.9 (captan).
 9. The method of claim 2, wherein the second MRM transition is selected from the group consisting of 407.0>59.1 (chlorfenapyr), 424.0>59.1 (chlorfenapyr), and 426.0>59.1 (chlorfenapyr).
 10. The method of claim 2, wherein the second MRM transition is 361.2>213.0 (cinerin-II).
 11. The method of claim 2, wherein the second MRM transition is 453.1>193.0 (cyfluthrin).
 12. The method of claim 2, wherein the second MRM transition is 435.1>193.1 (cypermethrin).
 13. The method of claim 2, wherein the second MRM transition is selected from the group consisting of 161.1>44.0 (daminozide) and 161.1>45.0 (daminozide).
 14. The method of claim 2, wherein the second MRM transition is 375.2>213.0 (jasmolin II).
 15. The method of claim 2, wherein the second MRM transition is selected from the group consisting of 380.8>127.0 (naled) and 382.8>127.0 (naled).
 16. The method of claim 2, wherein the second MRM transition is selected from the group consisting of 344.1>69.0 (propiconazole) and 344.1>161.0 (propiconazole).
 17. The method of claim 1, further comprising: (c) detecting a second MRM transition in the first ionized sample stream, wherein the second MRM transition is selected from the group consisting of 275.8>35.1 (pentachloronitrobenzene), 273.8>35.1 (pentachloronitrobenzene), and 275.8>201.9 (pentachloronitrobenzene).
 18. The method of claim 1, further comprising: (c) detecting a second MRM transition in the first ionized sample stream, wherein the second MRM transition is selected from the group consisting of 216.8>35.0 (etridiazole) and 218.8>35.0 (etridiazole).
 19. The method of claim 1, further comprising: (c) detecting a second MRM transition in the first ionized sample stream, wherein the second MRM transition is selected from the group consisting of 346.9>79.0 (chlorfenapyr) and 348.9>81.0 (chlorfenapyr).
 20. The method of claim 1, wherein the APCI source uses a nebulizing gas selected from the group consisting of air, nitrogen, carbon dioxide, and argon. 